[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-c8baafa5357a7a7b-building-clinically-safe-ai-agents-at-scale-summary":3,"summaries-facets-categories":120,"summary-related-c8baafa5357a7a7b-building-clinically-safe-ai-agents-at-scale-summary":6696},{"id":4,"title":5,"ai":6,"body":13,"categories":77,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":82,"navigation":99,"path":100,"published_at":101,"question":79,"scraped_at":102,"seo":103,"sitemap":104,"source_id":105,"source_name":106,"source_type":107,"source_url":108,"stem":109,"tags":110,"thumbnail_url":115,"tldr":116,"tweet":117,"unknown_tags":118,"__hash__":119},"summaries\u002Fsummaries\u002Fc8baafa5357a7a7b-building-clinically-safe-ai-agents-at-scale-summary.md","Building Clinically Safe AI Agents at Scale",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",8095,806,4134,0.00323275,{"type":14,"value":15,"toc":69},"minimark",[16,21,25,29,32,36,39,62,66],[17,18,20],"h2",{"id":19},"the-architecture-of-clinical-safety","The Architecture of Clinical Safety",[22,23,24],"p",{},"Hippocratic AI rejects the industry trade-off between model speed and accuracy. To achieve clinical-grade performance, they built \"Polaris,\" a constellation architecture that runs 31 models in parallel for every conversation. Rather than relying on a single large model, which acts as a single point of failure, they use a central model to maintain the conversation thread while 30 specialist models (labs, medications, scheduling) provide domain-specific reasoning. Each specialist performs a \"fast check\" to determine if it needs to intervene, allowing the system to maintain low latency while scaling intelligence.",[17,26,28],{"id":27},"solving-the-audio-to-reasoning-gap","Solving the Audio-to-Reasoning Gap",[22,30,31],{},"Standard speech-to-text systems often fail in clinical settings due to background noise and phonetic ambiguity (e.g., confusing \"yes\" with \"no\"). Hippocratic AI uses a decoder-only audio LLM that incorporates two critical inputs alongside audio: the conversation history and domain-specific context (e.g., a finite list of medications). This allows the model to resolve drug names against a known list rather than an unbounded one. Furthermore, they maintain prosody (the \"how\" of speech) during token projection to ensure the model understands emotional nuance. For single-word responses, the system performs a secondary scoring pass to prevent catastrophic misinterpretations.",[17,33,35],{"id":34},"inference-optimization-as-a-flywheel","Inference Optimization as a Flywheel",[22,37,38],{},"To maintain high performance, the team treats latency and intelligence as a compounding flywheel. Every millisecond saved through optimization is reinvested into adding more specialist models. Their inference stack utilizes:",[40,41,42,50,56],"ul",{},[43,44,45,49],"li",{},[46,47,48],"strong",{},"4-bit Quantization:"," Reducing math complexity without loss of quality.",[43,51,52,55],{},[46,53,54],{},"Speculative Decoding:"," Using smaller models to generate tokens ahead of time for verification by the main model.",[43,57,58,61],{},[46,59,60],{},"KV Cache Compression:"," Keeping long conversations warm in cache to achieve a 96% hit rate and 18x faster prefill speeds.",[17,63,65],{"id":64},"rigorous-evaluation-and-empathy","Rigorous Evaluation and Empathy",[22,67,68],{},"In healthcare, a 99% accuracy rate is insufficient; at 10,000 calls per day, 1% failure results in 100 clinical errors. Catching such low failure rates requires massive testing—roughly 450 tests to be 99% confident in identifying a 1% error rate. Hippocratic AI uses a hybrid approach of synthetic data and human clinicians (who have performed over 700,000 conversations) to grade outputs on a human-equivalent rubric (Correctness, No Harm, Minor Harm, Severe Harm, Death). Their current system achieves 99.89% safety, outperforming human benchmarks (81%) due to the system's ability to maintain focus without fatigue and access 30+ specialist supervisors simultaneously. They also developed the \"HEART\" benchmark to quantify and improve the empathy of their AI agents.",{"title":70,"searchDepth":71,"depth":71,"links":72},"",2,[73,74,75,76],{"id":19,"depth":71,"text":20},{"id":27,"depth":71,"text":28},{"id":34,"depth":71,"text":35},{"id":64,"depth":71,"text":65},[78],"AI & LLMs",null,"md",false,{"content_references":83,"triage":94},[84,89],{"type":85,"title":86,"author":87,"context":88},"other","HEART Benchmark","Hippocratic AI","recommended",{"type":90,"title":91,"author":92,"context":93},"tool","Whisper v3 Large Turbo","OpenAI","mentioned",{"relevance":95,"novelty":95,"quality":95,"actionability":96,"composite":97,"reasoning":98},4,3,3.8,"Category: AI & LLMs. The article discusses a novel architecture for AI agents in healthcare, addressing the audience's pain point of integrating AI into production with a focus on safety and performance. It provides insights into specific techniques like 4-bit quantization and speculative decoding, which are actionable but lack detailed implementation steps.",true,"\u002Fsummaries\u002Fc8baafa5357a7a7b-building-clinically-safe-ai-agents-at-scale-summary","2026-08-19 16:00:06","2026-08-20 03:12:02",{"title":5,"description":70},{"loc":100},"c8baafa5357a7a7b","AI Engineer","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=AN65uc645mE","summaries\u002Fc8baafa5357a7a7b-building-clinically-safe-ai-agents-at-scale-summary",[111,112,113,114],"agents","ai-llms","healthcare","latency","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FAN65uc645mE\u002Fhqdefault.jpg","Hippocratic AI achieves clinical-grade safety and speed by replacing monolithic models with a vertically integrated stack of 31 parallel specialist models, achieving 99.89% safety accuracy.","This is a technical breakdown of the [Hippocratic AI](https:\u002F\u002Fhippocraticai.com\u002F) voice-agent architecture, explaining why they moved away from generic LLM stacks in favor of a vertically integrated system. The speaker details their \"Polaris\" approach, which runs 31 parallel models to balance clinical safety, latency, and domain-specific accuracy.",[112,113,114],"TzVJtsnUNwoytxX4ox4gzPKo0R8Vys3EkEEA9kCejb4",[121,123,126,128,131,133,136,139,141,143,145,148,150,152,154,156,159,161,163,165,167,170,173,175,177,179,181,183,185,187,189,191,193,195,197,199,201,203,205,207,209,211,213,216,218,220,222,224,226,228,230,232,234,236,238,240,242,245,247,249,251,253,255,257,259,261,263,265,267,269,271,273,275,277,279,282,284,286,288,290,292,294,296,298,300,302,304,306,308,311,313,315,317,319,321,323,325,327,329,331,333,335,337,339,341,343,345,347,349,351,353,355,357,359,361,363,365,367,369,371,374,376,378,380,382,384,386,388,390,392,394,397,399,401,403,405,407,409,411,413,415,417,419,421,423,425,427,430,432,434,436,438,440,442,444,446,448,450,453,455,457,459,461,463,465,467,469,471,473,475,477,479,481,483,485,487,489,491,493,495,497,499,501,503,505,507,510,512,514,517,519,521,523,525,527,529,531,533,535,537,539,541,543,545,548,550,552,554,556,558,560,562,564,566,568,570,573,575,577,579,581,583,585,587,589,591,593,595,597,599,601,603,605,607,609,611,613,615,617,619,621,623,625,627,629,631,633,635,637,639,641,643,645,647,649,651,653,655,657,659,661,663,665,667,669,671,673,675,677,679,681,683,685,687,689,691,693,695,697,699,701,703,705,707,709,711,713,715,717,719,721,723,725,727,729,731,733,735,737,739,741,743,745,747,749,751,753,755,757,759,761,763,765,767,769,771,773,775,777,779,781,783,785,787,789,791,793,795,797,799,801,803,805,807,809,811,813,815,817,819,821,823,825,827,829,831,833,835,837,839,841,843,845,847,849,851,853,856,858,860,862,864,867,869,871,873,875,877,879,881,883,885,887,889,892,894,896,898,900,902,904,906,908,910,912,914,916,918,920,922,924,926,928,930,932,934,936,938,940,942,944,946,948,950,952,954,956,958,960,962,964,966,968,970,972,974,976,978,980,982,984,986,988,990,992,994,996,998,1000,1002,1004,1006,1008,1010,1012,1014,1016,1018,1020,1022,1024,1026,1028,1030,1032,1034,1036,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060,1062,1064,1066,1068,1070,1072,1074,1076,1078,1080,1082,1084,1086,1088,1090,1092,1094,1096,1098,1100,1102,1104,1106,1108,1110,1112,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1146,1148,1150,1152,1154,1156,1158,1160,1162,1164,1166,1168,1170,1172,1174,1176,1178,1180,1182,1184,1186,1188,1190,1192,1194,1196,1198,1201,1203,1205,1207,1209,1211,1213,1215,1217,1219,1221,1223,1225,1227,1229,1231,1233,1235,1237,1239,1241,1243,1245,1247,1249,1251,1253,1255,1257,1259,1261,1263,1265,1267,1269,1271,1273,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1297,1299,1301,1303,1305,1307,1309,1311,1313,1315,1317,1319,1321,1323,1325,1327,1329,1331,1333,1335,1337,1339,1341,1343,1345,1347,1349,1351,1353,1355,1357,1359,1361,1363,1365,1367,1369,1371,1373,1375,1377,1379,1381,1383,1385,1387,1389,1391,1394,1396,1398,1400,1402,1404,1406,1408,1410,1412,1414,1416,1418,1420,1422,1424,1426,1428,1430,1432,1434,1436,1438,1440,1442,1444,1446,1448,1450,1452,1454,1456,1458,1460,1462,1464,1466,1468,1470,1472,1474,1476,1478,1480,1482,1484,1486,1488,1490,1492,1494,1496,1498,1500,1502,1504,1506,1508,1510,1512,1514,1516,1518,1520,1522,1524,1526,1529,1531,1533,1535,1537,1539,1541,1543,1545,1547,1549,1551,1553,1555,1557,1559,1561,1563,1565,1567,1569,1571,1573,1575,1577,1579,1581,1583,1585,1587,1589,1591,1593,1595,1597,1599,1601,1603,1605,1607,1609,1611,1613,1615,1617,1619,1621,1623,1625,1627,1629,1631,1633,1635,1637,1639,1641,1643,1645,1647,1649,1651,1653,1655,1657,1659,1661,1663,1665,1667,1669,1671,1673,1676,1678,1680,1682,1684,1686,1688,1690,1692,1694,1696,1698,1700,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722,1724,1726,1728,1730,1732,1734,1737,1739,1741,1743,1745,1747,1749,1751,1753,1755,1757,1759,1761,1763,1765,1767,1769,1771,1773,1775,1777,1779,1781,1783,1785,1787,1789,1791,1793,1795,1797,1799,1801,1803,1805,1807,1809,1811,1813,1815,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1839,1841,1843,1845,1847,1849,1851,1853,1855,1857,1859,1861,1863,1865,1867,1869,1871,1873,1875,1877,1879,1881,1883,1885,1887,1889,1891,1893,1895,1897,1899,1901,1903,1905,1907,1909,1911,1913,1915,1917,1919,1921,1923,1925,1927,1929,1931,1933,1935,1937,1939,1941,1943,1945,1947,1949,1951,1953,1955,1957,1959,1961,1963,1965,1967,1969,1971,1973,1975,1977,1979,1981,1983,1985,1987,1989,1991,1993,1995,1997,1999,2001,2003,2005,2007,2009,2011,2013,2015,2017,2019,2021,2023,2025,2027,2029,2031,2033,2035,2037,2039,2041,2043,2045,2047,2049,2051,2053,2055,2057,2059,2061,2063,2065,2067,2069,2071,2073,2075,2077,2079,2081,2083,2085,2087,2089,2091,2093,2095,2097,2099,2101,2103,2105,2107,2109,2111,2113,2115,2117,2119,2121,2123,2125,2127,2129,2131,2133,2135,2137,2139,2141,2143,2145,2148,2150,2152,2154,2156,2158,2160,2162,2164,2166,2168,2170,2172,2174,2176,2178,2180,2182,2184,2186,2188,2190,2192,2194,2196,2198,2200,2202,2204,2206,2208,2210,2212,2214,2216,2218,2220,2222,2224,2226,2228,2231,2233,2235,2237,2239,2241,2243,2245,2247,2249,2251,2253,2255,2257,2259,2261,2263,2265,2267,2269,2271,2273,2275,2277,2279,2281,2283,2285,2287,2289,2291,2293,2295,2297,2299,2301,2303,2305,2307,2309,2311,2313,2315,2317,2319,2321,2323,2325,2327,2329,2331,2333,2335,2337,2339,2341,2343,2345,2348,2350,2352,2354,2356,2358,2360,2362,2364,2366,2368,2370,2372,2374,2376,2378,2380,2382,2384,2386,2389,2391,2393,2395,2397,2399,2401,2403,2405,2407,2409,2411,2413,2415,2417,2419,2421,2423,2425,2427,2429,2431,2433,2435,2437,2439,2441,2443,2445,2447,2449,2451,2453,2455,2457,2459,2461,2463,2465,2467,2469,2471,2473,2475,2477,2479,2481,2483,2485,2487,2489,2491,2493,2495,2497,2499,2501,2503,2505,2507,2509,2511,2513,2515,2517,2519,2521,2523,2525,2527,2529,2531,2533,2535,2537,2539,2541,2543,2545,2547,2549,2551,2553,2555,2557,2559,2561,2563,2565,2567,2569,2571,2573,2575,2577,2579,2581,2583,2585,2587,2589,2591,2593,2595,2597,2599,2601,2603,2605,2607,2609,2611,2613,2615,2617,2619,2621,2623,2625,2627,2629,2631,2633,2635,2637,2639,2641,2643,2645,2647,2649,2651,2653,2655,2657,2659,2661,2663,2665,2667,2669,2671,2673,2675,2677,2679,2681,2683,2685,2687,2689,2691,2693,2695,2697,2699,2701,2703,2705,2707,2709,2711,2713,2715,2717,2719,2721,2723,2725,2727,2729,2731,2733,2735,2737,2739,2741,2743,2745,2747,2749,2751,2753,2755,2757,2759,2761,2763,2765,2767,2769,2771,2773,2775,2777,2779,2781,2783,2785,2787,2789,2791,2793,2795,2797,2799,2801,2803,2805,2807,2809,2811,2813,2815,2817,2819,2821,2823,2825,2827,2829,2831,2833,2835,2837,2839,2841,2843,2845,2847,2849,2851,2853,2855,2857,2859,2861,2863,2865,2867,2869,2871,2873,2875,2877,2879,2881,2883,2885,2887,2889,2891,2893,2895,2897,2899,2901,2903,2905,2907,2909,2911,2913,2915,2917,2919,2921,2923,2925,2927,2929,2931,2933,2935,2937,2939,2941,2943,2945,2947,2949,2951,2953,2955,2957,2959,2961,2963,2965,2967,2969,2971,2973,2975,2977,2979,2981,2983,2985,2987,2989,2991,2993,2995,2997,2999,3002,3004,3006,3008,3010,3012,3014,3016,3018,3020,3022,3024,3026,3028,3030,3032,3034,3036,3038,3040,3042,3044,3046,3048,3050,3052,3054,3056,3058,3060,3062,3064,3066,3068,3070,3072,3074,3076,3078,3080,3082,3084,3086,3088,3090,3092,3094,3096,3098,3100,3102,3104,3106,3108,3110,3112,3114,3116,3118,3120,3123,3125,3127,3129,3131,3133,3135,3137,3139,3141,3143,3145,3147,3149,3151,3153,3155,3157,3159,3161,3163,3165,3167,3169,3171,3173,3175,3177,3179,3181,3183,3185,3187,3189,3191,3193,3195,3197,3199,3201,3203,3205,3207,3209,3211,3213,3215,3217,3219,3221,3223,3225,3227,3229,3231,3233,3235,3237,3239,3241,3243,3245,3247,3249,3251,3253,3255,3257,3259,3261,3263,3265,3267,3269,3271,3273,3275,3277,3279,3281,3283,3285,3287,3289,3291,3293,3295,3297,3299,3301,3303,3305,3307,3309,3311,3313,3315,3317,3319,3321,3323,3325,3327,3329,3331,3333,3335,3337,3339,3341,3343,3345,3347,3349,3351,3353,3355,3357,3359,3361,3363,3365,3367,3369,3371,3373,3375,3377,3379,3381,3383,3385,3387,3389,3391,3393,3395,3397,3399,3401,3403,3405,3407,3409,3411,3413,3415,3417,3419,3421,3423,3425,3427,3429,3431,3433,3435,3437,3439,3441,3443,3445,3447,3449,3451,3453,3455,3457,3459,3461,3463,3465,3467,3469,3471,3473,3475,3477,3479,3481,3483,3485,3487,3489,3491,3493,3495,3497,3499,3501,3503,3505,3507,3509,3511,3513,3515,3517,3519,3521,3523,3525,3527,3529,3531,3533,3535,3537,3539,3541,3543,3545,3547,3549,3551,3553,3555,3557,3559,3561,3563,3565,3567,3569,3571,3573,3575,3577,3579,3581,3583,3585,3587,3589,3591,3593,3595,3597,3599,3601,3603,3605,3607,3609,3611,3613,3615,3617,3619,3621,3623,3625,3627,3629,3631,3633,3635,3637,3639,3641,3643,3645,3647,3649,3651,3653,3655,3657,3659,3661,3663,3665,3667,3669,3671,3673,3675,3677,3679,3681,3683,3685,3687,3689,3691,3693,3695,3697,3699,3701,3703,3705,3707,3709,3711,3713,3715,3717,3719,3721,3723,3725,3727,3729,3731,3733,3735,3737,3739,3741,3743,3745,3747,3749,3751,3753,3755,3757,3759,3761,3763,3765,3767,3769,3771,3773,3775,3777,3779,3781,3783,3785,3787,3789,3791,3793,3795,3797,3799,3801,3803,3805,3807,3809,3811,3813,3815,3817,3819,3821,3823,3825,3827,3829,3831,3833,3835,3837,3839,3841,3843,3845,3847,3849,3851,3853,3855,3857,3859,3861,3863,3865,3867,3869,3871,3873,3875,3877,3879,3881,3883,3885,3887,3889,3891,3893,3895,3897,3899,3901,3903,3905,3907,3909,3911,3913,3915,3917,3919,3921,3923,3925,3927,3929,3931,3933,3935,3937,3939,3941,3943,3945,3947,3949,3951,3953,3955,3957,3959,3961,3963,3965,3967,3969,3971,3973,3975,3977,3979,3981,3983,3985,3987,3989,3991,3993,3995,3997,3999,4001,4003,4005,4007,4009,4011,4013,4015,4017,4019,4021,4023,4025,4027,4029,4031,4033,4035,4037,4039,4041,4043,4045,4047,4049,4051,4053,4055,4057,4059,4061,4063,4065,4067,4069,4071,4073,4075,4077,4079,4081,4083,4085,4087,4089,4091,4093,4095,4097,4099,4101,4103,4105,4107,4109,4111,4113,4115,4117,4119,4121,4123,4125,4127,4129,4131,4133,4135,4137,4139,4141,4143,4145,4147,4149,4151,4153,4155,4157,4159,4161,4163,4165,4167,4169,4171,4173,4175,4177,4179,4181,4183,4185,4187,4189,4191,4193,4195,4197,4199,4201,4203,4205,4207,4209,4211,4213,4215,4217,4219,4221,4223,4225,4227,4229,4231,4233,4235,4237,4239,4241,4243,4245,4247,4249,4251,4253,4255,4257,4259,4261,4263,4265,4267,4269,4271,4273,4275,4277,4279,4281,4283,4285,4287,4289,4291,4293,4295,4297,4299,4301,4303,4305,4307,4309,4311,4313,4315,4317,4319,4321,4323,4325,4327,4329,4331,4333,4335,4337,4339,4341,4343,4346,4348,4350,4352,4354,4356,4358,4360,4362,4364,4366,4368,4370,4372,4374,4376,4378,4380,4382,4384,4386,4388,4390,4392,4394,4396,4398,4400,4402,4404,4406,4408,4410,4412,4414,4416,4418,4420,4422,4424,4426,4428,4430,4432,4434,4436,4438,4440,4442,4444,4446,4448,4450,4452,4454,4456,4458,4460,4462,4464,4466,4468,4470,4472,4474,4476,4478,4480,4482,4484,4486,4488,4490,4492,4494,4496,4498,4500,4502,4504,4506,4508,4510,4512,4514,4516,4518,4520,4522,4524,4526,4528,4530,4532,4534,4536,4538,4540,4542,4544,4546,4548,4550,4552,4554,4556,4558,4560,4562,4564,4566,4568,4570,4572,4574,4576,4578,4580,4582,4584,4586,4588,4590,4592,4594,4596,4598,4600,4602,4604,4606,4608,4610,4612,4614,4616,4618,4620,4622,4624,4626,4628,4630,4632,4634,4636,4638,4640,4642,4644,4646,4648,4650,4652,4654,4656,4658,4660,4662,4664,4666,4668,4670,4672,4674,4676,4678,4680,4682,4684,4686,4688,4690,4692,4694,4696,4698,4700,4702,4704,4706,4708,4710,4712,4714,4716,4718,4720,4722,4724,4726,4728,4730,4732,4734,4736,4738,4740,4742,4744,4746,4748,4750,4752,4754,4756,4758,4760,4762,4764,4766,4768,4770,4772,4774,4776,4778,4780,4782,4784,4786,4788,4790,4792,4794,4796,4798,4800,4802,4804,4806,4808,4810,4812,4814,4816,4818,4820,4822,4824,4826,4828,4830,4832,4834,4836,4838,4840,4842,4844,4846,4848,4850,4852,4854,4856,4858,4860,4862,4864,4866,4868,4870,4872,4874,4876,4878,4880,4882,4884,4886,4888,4890,4892,4894,4896,4898,4900,4902,4904,4906,4908,4910,4912,4914,4916,4918,4920,4922,4924,4926,4928,4930,4932,4934,4936,4938,4940,4942,4944,4946,4948,4950,4952,4954,4956,4958,4960,4962,4964,4966,4968,4970,4972,4974,4976,4978,4980,4982,4984,4986,4988,4990,4992,4994,4996,4998,5000,5002,5004,5006,5008,5010,5012,5014,5016,5018,5020,5022,5024,5026,5028,5030,5032,5034,5036,5038,5040,5042,5044,5046,5048,5050,5052,5054,5056,5058,5060,5062,5064,5066,5068,5070,5072,5074,5076,5078,5080,5082,5084,5086,5088,5090,5092,5094,5096,5098,5100,5102,5104,5106,5108,5110,5112,5114,5116,5118,5120,5122,5124,5126,5128,5130,5132,5134,5136,5138,5140,5142,5144,5146,5148,5150,5152,5154,5156,5158,5160,5163,5165,5167,5169,5171,5173,5175,5177,5179,5181,5183,5185,5187,5189,5191,5193,5195,5197,5199,5201,5203,5205,5207,5209,5211,5213,5215,5217,5219,5221,5223,5225,5227,5229,5231,5233,5235,5237,5239,5241,5243,5245,5247,5249,5251,5253,5255,5257,5259,5261,5263,5265,5267,5269,5271,5273,5275,5277,5279,5281,5283,5285,5287,5289,5291,5293,5295,5297,5299,5301,5303,5305,5307,5309,5311,5313,5315,5317,5319,5321,5323,5325,5327,5329,5331,5333,5335,5337,5339,5341,5343,5345,5347,5349,5351,5353,5355,5357,5359,5362,5364,5366,5368,5370,5372,5374,5376,5378,5380,5382,5384,5386,5388,5390,5392,5394,5396,5398,5400,5402,5404,5406,5408,5410,5412,5414,5416,5418,5420,5422,5424,5426,5428,5430,5432,5434,5436,5438,5440,5442,5444,5446,5448,5450,5452,5454,5456,5458,5460,5462,5464,5466,5468,5470,5472,5474,5476,5478,5480,5482,5484,5486,5488,5490,5492,5494,5496,5498,5500,5502,5504,5506,5508,5510,5512,5514,5516,5518,5520,5522,5524,5526,5528,5530,5532,5534,5536,5538,5540,5542,5544,5546,5548,5550,5552,5554,5556,5558,5560,5562,5564,5566,5568,5570,5572,5574,5576,5578,5580,5582,5584,5586,5588,5590,5592,5594,5596,5598,5600,5602,5604,5606,5608,5610,5612,5614,5616,5618,5620,5622,5624,5626,5628,5630,5632,5634,5636,5638,5640,5642,5644,5646,5648,5650,5652,5654,5656,5658,5660,5662,5664,5666,5668,5670,5672,5674,5676,5678,5680,5682,5684,5686,5688,5690,5692,5694,5696,5698,5700,5702,5704,5706,5708,5710,5712,5714,5716,5718,5720,5722,5724,5726,5728,5730,5732,5734,5736,5738,5740,5742,5744,5746,5748,5750,5752,5754,5756,5758,5760,5762,5764,5766,5768,5770,5772,5774,5776,5778,5780,5782,5784,5786,5788,5790,5792,5794,5796,5798,5800,5802,5804,5806,5808,5810,5812,5814,5816,5818,5820,5822,5824,5826,5828,5830,5832,5834,5836,5838,5840,5842,5844,5846,5848,5850,5852,5854,5856,5858,5860,5862,5864,5866,5868,5870,5872,5874,5876,5878,5880,5882,5884,5886,5888,5890,5892,5894,5896,5898,5900,5902,5904,5906,5908,5910,5912,5914,5916,5918,5920,5922,5924,5926,5928,5930,5932,5934,5936,5938,5940,5942,5944,5946,5948,5950,5952,5954,5956,5958,5960,5962,5964,5966,5968,5970,5972,5974,5976,5978,5980,5982,5984,5986,5988,5990,5992,5994,5996,5998,6000,6002,6004,6006,6008,6010,6012,6014,6016,6018,6020,6022,6024,6026,6028,6030,6032,6034,6036,6038,6040,6042,6044,6046,6048,6050,6052,6054,6056,6058,6060,6062,6064,6066,6068,6070,6072,6074,6076,6078,6080,6082,6084,6086,6088,6090,6092,6094,6096,6098,6100,6102,6104,6106,6108,6110,6112,6114,6116,6118,6120,6122,6124,6126,6128,6130,6132,6134,6136,6138,6140,6142,6144,6146,6148,6150,6152,6154,6156,6158,6160,6162,6164,6166,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190,6192,6194,6196,6198,6200,6202,6204,6206,6208,6210,6212,6214,6216,6218,6220,6222,6224,6226,6228,6230,6232,6234,6236,6238,6240,6242,6244,6246,6248,6250,6252,6254,6256,6258,6260,6262,6264,6266,6268,6270,6272,6274,6276,6278,6280,6282,6284,6286,6288,6290,6292,6294,6296,6298,6300,6302,6304,6306,6308,6310,6312,6314,6316,6318,6320,6322,6324,6326,6328,6330,6332,6334,6336,6338,6340,6342,6344,6346,6348,6350,6352,6354,6356,6358,6360,6362,6364,6366,6368,6370,6372,6374,6376,6378,6380,6382,6384,6386,6388,6390,6392,6394,6396,6398,6400,6402,6404,6406,6408,6410,6412,6414,6416,6418,6420,6422,6424,6426,6428,6430,6432,6434,6436,6438,6440,6442,6444,6446,6448,6450,6452,6454,6456,6458,6460,6462,6464,6466,6468,6470,6472,6474,6476,6478,6480,6482,6484,6486,6488,6490,6492,6494,6496,6498,6500,6502,6504,6506,6508,6510,6512,6514,6516,6518,6520,6522,6524,6526,6528,6530,6532,6534,6536,6538,6540,6542,6544,6546,6548,6550,6552,6554,6556,6558,6560,6562,6564,6566,6568,6570,6572,6574,6576,6578,6580,6582,6584,6586,6588,6590,6592,6594,6596,6598,6600,6602,6604,6606,6608,6610,6612,6614,6616,6618,6620,6622,6624,6626,6628,6630,6632,6634,6636,6638,6640,6642,6644,6646,6648,6650,6652,6654,6656,6658,6660,6662,6664,6666,6668,6670,6672,6674,6676,6678,6680,6682,6684,6686,6688,6690,6692,6694],{"categories":122},[78],{"categories":124},[125],"Developer Productivity",{"categories":127},[78],{"categories":129},[130],"Business & SaaS",{"categories":132},[78],{"categories":134},[135],"AI Automation",{"categories":137},[138],"Product Strategy",{"categories":140},[78],{"categories":142},[125],{"categories":144},[135],{"categories":146},[147],"Software Engineering",{"categories":149},[78],{"categories":151},[130],{"categories":153},[],{"categories":155},[78],{"categories":157},[158],"Inference & Serving",{"categories":160},[78],{"categories":162},[78],{"categories":164},[135],{"categories":166},[],{"categories":168},[169],"AI News & Trends",{"categories":171},[172],"Data Science & Visualization",{"categories":174},[135],{"categories":176},[78],{"categories":178},[78],{"categories":180},[130],{"categories":182},[125],{"categories":184},[78],{"categories":186},[135],{"categories":188},[169],{"categories":190},[135],{"categories":192},[135],{"categories":194},[78],{"categories":196},[135],{"categories":198},[78],{"categories":200},[78],{"categories":202},[78],{"categories":204},[169],{"categories":206},[78],{"categories":208},[78],{"categories":210},[78],{"categories":212},[],{"categories":214},[215],"Design & Frontend",{"categories":217},[172],{"categories":219},[169],{"categories":221},[78],{"categories":223},[78],{"categories":225},[78],{"categories":227},[],{"categories":229},[78],{"categories":231},[78],{"categories":233},[135],{"categories":235},[147],{"categories":237},[78],{"categories":239},[135],{"categories":241},[78],{"categories":243},[244],"Marketing & Growth",{"categories":246},[215],{"categories":248},[78],{"categories":250},[135],{"categories":252},[78],{"categories":254},[147],{"categories":256},[],{"categories":258},[],{"categories":260},[215],{"categories":262},[78],{"categories":264},[135],{"categories":266},[125],{"categories":268},[147],{"categories":270},[135],{"categories":272},[215],{"categories":274},[138],{"categories":276},[78],{"categories":278},[147],{"categories":280},[281],"DevOps & Cloud",{"categories":283},[135],{"categories":285},[138],{"categories":287},[169],{"categories":289},[78],{"categories":291},[],{"categories":293},[78],{"categories":295},[78],{"categories":297},[],{"categories":299},[135],{"categories":301},[147],{"categories":303},[],{"categories":305},[147],{"categories":307},[78],{"categories":309},[310],"Governance & Standards",{"categories":312},[130],{"categories":314},[],{"categories":316},[],{"categories":318},[78],{"categories":320},[78],{"categories":322},[135],{"categories":324},[78],{"categories":326},[78],{"categories":328},[135],{"categories":330},[78],{"categories":332},[78],{"categories":334},[78],{"categories":336},[],{"categories":338},[147],{"categories":340},[],{"categories":342},[],{"categories":344},[78],{"categories":346},[147],{"categories":348},[],{"categories":350},[147],{"categories":352},[78],{"categories":354},[78],{"categories":356},[244],{"categories":358},[78],{"categories":360},[78],{"categories":362},[215],{"categories":364},[215],{"categories":366},[78],{"categories":368},[147],{"categories":370},[135],{"categories":372},[373],"GovTech & Public-Sector Adoption",{"categories":375},[147],{"categories":377},[78],{"categories":379},[78],{"categories":381},[78],{"categories":383},[135],{"categories":385},[135],{"categories":387},[172],{"categories":389},[78],{"categories":391},[169],{"categories":393},[135],{"categories":395},[396],"Legal AI Tools",{"categories":398},[78],{"categories":400},[135],{"categories":402},[78],{"categories":404},[244],{"categories":406},[135],{"categories":408},[138],{"categories":410},[78],{"categories":412},[147],{"categories":414},[373],{"categories":416},[],{"categories":418},[135],{"categories":420},[],{"categories":422},[130],{"categories":424},[135],{"categories":426},[135],{"categories":428},[429],"RAG & Retrieval",{"categories":431},[130],{"categories":433},[78],{"categories":435},[147],{"categories":437},[147],{"categories":439},[281],{"categories":441},[215],{"categories":443},[135],{"categories":445},[78],{"categories":447},[78],{"categories":449},[],{"categories":451},[452],"Agents & Orchestration",{"categories":454},[147],{"categories":456},[78],{"categories":458},[],{"categories":460},[135],{"categories":462},[130],{"categories":464},[],{"categories":466},[78],{"categories":468},[],{"categories":470},[78],{"categories":472},[125],{"categories":474},[147],{"categories":476},[130],{"categories":478},[78],{"categories":480},[135],{"categories":482},[78],{"categories":484},[169],{"categories":486},[78],{"categories":488},[],{"categories":490},[78],{"categories":492},[],{"categories":494},[78],{"categories":496},[147],{"categories":498},[78],{"categories":500},[172],{"categories":502},[],{"categories":504},[78],{"categories":506},[215],{"categories":508},[509],"Models & Frontier Labs",{"categories":511},[],{"categories":513},[215],{"categories":515},[516],"Regulation & Governance of AI",{"categories":518},[135],{"categories":520},[],{"categories":522},[78],{"categories":524},[78],{"categories":526},[135],{"categories":528},[169],{"categories":530},[78],{"categories":532},[130],{"categories":534},[78],{"categories":536},[],{"categories":538},[147],{"categories":540},[135],{"categories":542},[78],{"categories":544},[138],{"categories":546},[547],"AI Policy & Regulation",{"categories":549},[],{"categories":551},[78],{"categories":553},[135],{"categories":555},[138],{"categories":557},[135],{"categories":559},[78],{"categories":561},[78],{"categories":563},[78],{"categories":565},[135],{"categories":567},[],{"categories":569},[172],{"categories":571},[572],"Evals & Reliability",{"categories":574},[78],{"categories":576},[78],{"categories":578},[],{"categories":580},[125],{"categories":582},[373],{"categories":584},[547],{"categories":586},[78],{"categories":588},[130],{"categories":590},[78],{"categories":592},[135],{"categories":594},[78],{"categories":596},[135],{"categories":598},[452],{"categories":600},[78],{"categories":602},[147],{"categories":604},[78],{"categories":606},[],{"categories":608},[215],{"categories":610},[],{"categories":612},[78],{"categories":614},[373],{"categories":616},[78],{"categories":618},[78],{"categories":620},[78],{"categories":622},[],{"categories":624},[78],{"categories":626},[215],{"categories":628},[],{"categories":630},[78],{"categories":632},[],{"categories":634},[135],{"categories":636},[78],{"categories":638},[215],{"categories":640},[],{"categories":642},[78],{"categories":644},[78],{"categories":646},[172],{"categories":648},[135],{"categories":650},[78],{"categories":652},[130],{"categories":654},[135],{"categories":656},[78],{"categories":658},[78],{"categories":660},[147],{"categories":662},[215],{"categories":664},[78],{"categories":666},[135],{"categories":668},[],{"categories":670},[147],{"categories":672},[135],{"categories":674},[172],{"categories":676},[],{"categories":678},[78],{"categories":680},[169],{"categories":682},[78],{"categories":684},[],{"categories":686},[78],{"categories":688},[78],{"categories":690},[78],{"categories":692},[130,244],{"categories":694},[],{"categories":696},[147],{"categories":698},[78],{"categories":700},[78],{"categories":702},[135],{"categories":704},[78],{"categories":706},[],{"categories":708},[],{"categories":710},[78],{"categories":712},[215],{"categories":714},[78],{"categories":716},[],{"categories":718},[78],{"categories":720},[281],{"categories":722},[],{"categories":724},[135],{"categories":726},[169],{"categories":728},[78],{"categories":730},[78],{"categories":732},[215],{"categories":734},[],{"categories":736},[169],{"categories":738},[78],{"categories":740},[158],{"categories":742},[78],{"categories":744},[78],{"categories":746},[135],{"categories":748},[169],{"categories":750},[509],{"categories":752},[78],{"categories":754},[244],{"categories":756},[],{"categories":758},[135],{"categories":760},[130],{"categories":762},[147],{"categories":764},[78],{"categories":766},[135],{"categories":768},[],{"categories":770},[78,281],{"categories":772},[78],{"categories":774},[78],{"categories":776},[78],{"categories":778},[135],{"categories":780},[78,147],{"categories":782},[172],{"categories":784},[78],{"categories":786},[78],{"categories":788},[147],{"categories":790},[78],{"categories":792},[135],{"categories":794},[135],{"categories":796},[547],{"categories":798},[244],{"categories":800},[78],{"categories":802},[135],{"categories":804},[78],{"categories":806},[78],{"categories":808},[135],{"categories":810},[],{"categories":812},[135],{"categories":814},[78],{"categories":816},[78],{"categories":818},[135],{"categories":820},[78],{"categories":822},[78,130],{"categories":824},[78],{"categories":826},[130],{"categories":828},[],{"categories":830},[215],{"categories":832},[215],{"categories":834},[78],{"categories":836},[],{"categories":838},[],{"categories":840},[78],{"categories":842},[169],{"categories":844},[],{"categories":846},[125],{"categories":848},[78],{"categories":850},[147],{"categories":852},[78],{"categories":854},[855],"Generative UI & Design-to-Code",{"categories":857},[78],{"categories":859},[78],{"categories":861},[215],{"categories":863},[78],{"categories":865},[866],"Algorithmic Accountability",{"categories":868},[135],{"categories":870},[147],{"categories":872},[169],{"categories":874},[215],{"categories":876},[78],{"categories":878},[],{"categories":880},[138],{"categories":882},[78],{"categories":884},[78],{"categories":886},[78],{"categories":888},[135],{"categories":890},[891],"MLOps & Infrastructure",{"categories":893},[78],{"categories":895},[78],{"categories":897},[78],{"categories":899},[78],{"categories":901},[78],{"categories":903},[147],{"categories":905},[169],{"categories":907},[138],{"categories":909},[125],{"categories":911},[78],{"categories":913},[135],{"categories":915},[281],{"categories":917},[78],{"categories":919},[130],{"categories":921},[78],{"categories":923},[215],{"categories":925},[78],{"categories":927},[78],{"categories":929},[135],{"categories":931},[],{"categories":933},[],{"categories":935},[78],{"categories":937},[158],{"categories":939},[215],{"categories":941},[169],{"categories":943},[172],{"categories":945},[],{"categories":947},[78],{"categories":949},[78],{"categories":951},[130],{"categories":953},[135],{"categories":955},[78],{"categories":957},[78],{"categories":959},[78],{"categories":961},[78],{"categories":963},[169],{"categories":965},[158],{"categories":967},[78],{"categories":969},[215],{"categories":971},[78],{"categories":973},[],{"categories":975},[135],{"categories":977},[147],{"categories":979},[],{"categories":981},[78],{"categories":983},[78],{"categories":985},[135],{"categories":987},[147],{"categories":989},[78],{"categories":991},[172],{"categories":993},[],{"categories":995},[78],{"categories":997},[],{"categories":999},[78],{"categories":1001},[],{"categories":1003},[78],{"categories":1005},[138],{"categories":1007},[130],{"categories":1009},[135],{"categories":1011},[135],{"categories":1013},[],{"categories":1015},[78],{"categories":1017},[125],{"categories":1019},[78],{"categories":1021},[78],{"categories":1023},[130],{"categories":1025},[169],{"categories":1027},[125],{"categories":1029},[],{"categories":1031},[78],{"categories":1033},[],{"categories":1035},[],{"categories":1037},[169],{"categories":1039},[169],{"categories":1041},[],{"categories":1043},[452],{"categories":1045},[78],{"categories":1047},[215],{"categories":1049},[147],{"categories":1051},[],{"categories":1053},[396],{"categories":1055},[135],{"categories":1057},[130],{"categories":1059},[],{"categories":1061},[],{"categories":1063},[125],{"categories":1065},[172],{"categories":1067},[],{"categories":1069},[244],{"categories":1071},[135],{"categories":1073},[130],{"categories":1075},[135],{"categories":1077},[130],{"categories":1079},[78],{"categories":1081},[147],{"categories":1083},[],{"categories":1085},[158],{"categories":1087},[138],{"categories":1089},[78],{"categories":1091},[215],{"categories":1093},[147],{"categories":1095},[130],{"categories":1097},[78],{"categories":1099},[78],{"categories":1101},[135],{"categories":1103},[130],{"categories":1105},[78],{"categories":1107},[78],{"categories":1109},[78],{"categories":1111},[78],{"categories":1113},[78],{"categories":1115},[],{"categories":1117},[],{"categories":1119},[147],{"categories":1121},[172],{"categories":1123},[138],{"categories":1125},[78],{"categories":1127},[135],{"categories":1129},[147],{"categories":1131},[147],{"categories":1133},[78],{"categories":1135},[],{"categories":1137},[169],{"categories":1139},[138],{"categories":1141},[147],{"categories":1143},[78],{"categories":1145},[572],{"categories":1147},[281],{"categories":1149},[],{"categories":1151},[135],{"categories":1153},[78],{"categories":1155},[],{"categories":1157},[125],{"categories":1159},[],{"categories":1161},[78],{"categories":1163},[78],{"categories":1165},[78],{"categories":1167},[215],{"categories":1169},[244],{"categories":1171},[78],{"categories":1173},[147],{"categories":1175},[78],{"categories":1177},[135],{"categories":1179},[],{"categories":1181},[147],{"categories":1183},[78],{"categories":1185},[125],{"categories":1187},[],{"categories":1189},[130],{"categories":1191},[78],{"categories":1193},[169],{"categories":1195},[78,281],{"categories":1197},[78],{"categories":1199},[1200],"Design Systems for AI",{"categories":1202},[78],{"categories":1204},[78],{"categories":1206},[169],{"categories":1208},[78],{"categories":1210},[78],{"categories":1212},[78],{"categories":1214},[130],{"categories":1216},[78],{"categories":1218},[78],{"categories":1220},[78],{"categories":1222},[],{"categories":1224},[78],{"categories":1226},[78],{"categories":1228},[130],{"categories":1230},[78],{"categories":1232},[],{"categories":1234},[135],{"categories":1236},[147],{"categories":1238},[169],{"categories":1240},[147],{"categories":1242},[78],{"categories":1244},[215],{"categories":1246},[169],{"categories":1248},[172],{"categories":1250},[78],{"categories":1252},[78],{"categories":1254},[135],{"categories":1256},[125],{"categories":1258},[547],{"categories":1260},[78],{"categories":1262},[135],{"categories":1264},[78],{"categories":1266},[147],{"categories":1268},[147],{"categories":1270},[],{"categories":1272},[],{"categories":1274},[78],{"categories":1276},[135],{"categories":1278},[138],{"categories":1280},[],{"categories":1282},[130],{"categories":1284},[78],{"categories":1286},[],{"categories":1288},[215],{"categories":1290},[135],{"categories":1292},[147],{"categories":1294},[215],{"categories":1296},[78],{"categories":1298},[78],{"categories":1300},[215],{"categories":1302},[],{"categories":1304},[],{"categories":1306},[169],{"categories":1308},[135],{"categories":1310},[135],{"categories":1312},[78],{"categories":1314},[78],{"categories":1316},[78],{"categories":1318},[78],{"categories":1320},[130],{"categories":1322},[78],{"categories":1324},[78],{"categories":1326},[],{"categories":1328},[147],{"categories":1330},[147],{"categories":1332},[78],{"categories":1334},[147],{"categories":1336},[130],{"categories":1338},[],{"categories":1340},[78],{"categories":1342},[78],{"categories":1344},[78],{"categories":1346},[78],{"categories":1348},[78],{"categories":1350},[135],{"categories":1352},[125],{"categories":1354},[130],{"categories":1356},[78],{"categories":1358},[135],{"categories":1360},[169],{"categories":1362},[135],{"categories":1364},[158],{"categories":1366},[244],{"categories":1368},[78],{"categories":1370},[135],{"categories":1372},[78],{"categories":1374},[78],{"categories":1376},[],{"categories":1378},[215],{"categories":1380},[],{"categories":1382},[78],{"categories":1384},[78],{"categories":1386},[],{"categories":1388},[147],{"categories":1390},[130],{"categories":1392},[1393],"Visual & Generative Media",{"categories":1395},[135],{"categories":1397},[],{"categories":1399},[78],{"categories":1401},[78],{"categories":1403},[147],{"categories":1405},[281],{"categories":1407},[78],{"categories":1409},[172],{"categories":1411},[547],{"categories":1413},[147],{"categories":1415},[244],{"categories":1417},[78],{"categories":1419},[215],{"categories":1421},[78],{"categories":1423},[78],{"categories":1425},[147],{"categories":1427},[135],{"categories":1429},[78],{"categories":1431},[],{"categories":1433},[],{"categories":1435},[135],{"categories":1437},[147],{"categories":1439},[125],{"categories":1441},[135],{"categories":1443},[509],{"categories":1445},[78],{"categories":1447},[138],{"categories":1449},[78],{"categories":1451},[130],{"categories":1453},[],{"categories":1455},[78],{"categories":1457},[138],{"categories":1459},[78],{"categories":1461},[78],{"categories":1463},[78],{"categories":1465},[138],{"categories":1467},[78],{"categories":1469},[78],{"categories":1471},[244],{"categories":1473},[78],{"categories":1475},[452],{"categories":1477},[78],{"categories":1479},[135],{"categories":1481},[78],{"categories":1483},[78],{"categories":1485},[78],{"categories":1487},[78],{"categories":1489},[215],{"categories":1491},[135],{"categories":1493},[],{"categories":1495},[135],{"categories":1497},[],{"categories":1499},[281],{"categories":1501},[147],{"categories":1503},[],{"categories":1505},[509],{"categories":1507},[78],{"categories":1509},[135],{"categories":1511},[78],{"categories":1513},[215,78],{"categories":1515},[125],{"categories":1517},[78],{"categories":1519},[215],{"categories":1521},[],{"categories":1523},[78],{"categories":1525},[125],{"categories":1527},[1528],"Medical Imaging & Radiology",{"categories":1530},[78],{"categories":1532},[215],{"categories":1534},[135],{"categories":1536},[147],{"categories":1538},[],{"categories":1540},[78],{"categories":1542},[78],{"categories":1544},[78],{"categories":1546},[],{"categories":1548},[],{"categories":1550},[78],{"categories":1552},[452],{"categories":1554},[78],{"categories":1556},[125],{"categories":1558},[78],{"categories":1560},[78],{"categories":1562},[],{"categories":1564},[135],{"categories":1566},[78],{"categories":1568},[138],{"categories":1570},[147],{"categories":1572},[78],{"categories":1574},[452],{"categories":1576},[78],{"categories":1578},[135],{"categories":1580},[78],{"categories":1582},[78],{"categories":1584},[78],{"categories":1586},[215],{"categories":1588},[135],{"categories":1590},[281],{"categories":1592},[215],{"categories":1594},[130],{"categories":1596},[135],{"categories":1598},[169],{"categories":1600},[78],{"categories":1602},[78],{"categories":1604},[138],{"categories":1606},[78],{"categories":1608},[78],{"categories":1610},[78],{"categories":1612},[135],{"categories":1614},[78],{"categories":1616},[147],{"categories":1618},[147],{"categories":1620},[78],{"categories":1622},[138],{"categories":1624},[],{"categories":1626},[169],{"categories":1628},[],{"categories":1630},[138],{"categories":1632},[135],{"categories":1634},[78],{"categories":1636},[135],{"categories":1638},[1200],{"categories":1640},[1200],{"categories":1642},[215],{"categories":1644},[78],{"categories":1646},[78],{"categories":1648},[135],{"categories":1650},[147],{"categories":1652},[215],{"categories":1654},[135],{"categories":1656},[169],{"categories":1658},[],{"categories":1660},[78],{"categories":1662},[],{"categories":1664},[78],{"categories":1666},[78],{"categories":1668},[78],{"categories":1670},[78],{"categories":1672},[135],{"categories":1674},[1675],"Contract Review & E-Discovery",{"categories":1677},[78],{"categories":1679},[215],{"categories":1681},[78],{"categories":1683},[125],{"categories":1685},[78],{"categories":1687},[169],{"categories":1689},[78],{"categories":1691},[78],{"categories":1693},[244],{"categories":1695},[147],{"categories":1697},[78],{"categories":1699},[78],{"categories":1701},[135],{"categories":1703},[135],{"categories":1705},[866],{"categories":1707},[78],{"categories":1709},[78],{"categories":1711},[135],{"categories":1713},[135],{"categories":1715},[78],{"categories":1717},[78],{"categories":1719},[135],{"categories":1721},[78],{"categories":1723},[78],{"categories":1725},[452],{"categories":1727},[429],{"categories":1729},[78],{"categories":1731},[135],{"categories":1733},[78],{"categories":1735},[1736],"Law-Firm Practice & Adoption",{"categories":1738},[78],{"categories":1740},[135],{"categories":1742},[215],{"categories":1744},[78],{"categories":1746},[78],{"categories":1748},[78],{"categories":1750},[],{"categories":1752},[],{"categories":1754},[147],{"categories":1756},[78],{"categories":1758},[],{"categories":1760},[135],{"categories":1762},[125],{"categories":1764},[281],{"categories":1766},[78],{"categories":1768},[],{"categories":1770},[125],{"categories":1772},[130],{"categories":1774},[78],{"categories":1776},[244],{"categories":1778},[],{"categories":1780},[130],{"categories":1782},[130],{"categories":1784},[],{"categories":1786},[78],{"categories":1788},[138],{"categories":1790},[78],{"categories":1792},[147],{"categories":1794},[],{"categories":1796},[],{"categories":1798},[],{"categories":1800},[],{"categories":1802},[78],{"categories":1804},[135],{"categories":1806},[281],{"categories":1808},[78],{"categories":1810},[125],{"categories":1812},[147],{"categories":1814},[78],{"categories":1816},[78],{"categories":1818},[147],{"categories":1820},[138],{"categories":1822},[78],{"categories":1824},[78],{"categories":1826},[78],{"categories":1828},[891],{"categories":1830},[78],{"categories":1832},[78],{"categories":1834},[244],{"categories":1836},[147],{"categories":1838},[130],{"categories":1840},[78],{"categories":1842},[78],{"categories":1844},[215],{"categories":1846},[78],{"categories":1848},[78],{"categories":1850},[78],{"categories":1852},[78],{"categories":1854},[130],{"categories":1856},[135],{"categories":1858},[78,125],{"categories":1860},[452],{"categories":1862},[78],{"categories":1864},[78],{"categories":1866},[147],{"categories":1868},[147],{"categories":1870},[215],{"categories":1872},[135],{"categories":1874},[147],{"categories":1876},[78],{"categories":1878},[78],{"categories":1880},[],{"categories":1882},[],{"categories":1884},[78],{"categories":1886},[78],{"categories":1888},[135],{"categories":1890},[],{"categories":1892},[78],{"categories":1894},[147],{"categories":1896},[172],{"categories":1898},[169],{"categories":1900},[215],{"categories":1902},[78],{"categories":1904},[78],{"categories":1906},[147],{"categories":1908},[],{"categories":1910},[135],{"categories":1912},[78],{"categories":1914},[78],{"categories":1916},[78],{"categories":1918},[78],{"categories":1920},[],{"categories":1922},[135],{"categories":1924},[78],{"categories":1926},[78],{"categories":1928},[],{"categories":1930},[135],{"categories":1932},[78],{"categories":1934},[78],{"categories":1936},[130],{"categories":1938},[78],{"categories":1940},[78],{"categories":1942},[],{"categories":1944},[125],{"categories":1946},[78],{"categories":1948},[78],{"categories":1950},[78],{"categories":1952},[215],{"categories":1954},[78],{"categories":1956},[147],{"categories":1958},[78],{"categories":1960},[125],{"categories":1962},[78],{"categories":1964},[147],{"categories":1966},[244],{"categories":1968},[135],{"categories":1970},[135],{"categories":1972},[78],{"categories":1974},[78],{"categories":1976},[78,215],{"categories":1978},[78],{"categories":1980},[135],{"categories":1982},[169],{"categories":1984},[78],{"categories":1986},[169],{"categories":1988},[135],{"categories":1990},[215],{"categories":1992},[78],{"categories":1994},[],{"categories":1996},[147],{"categories":1998},[281],{"categories":2000},[215],{"categories":2002},[147],{"categories":2004},[78],{"categories":2006},[138],{"categories":2008},[78],{"categories":2010},[78],{"categories":2012},[135],{"categories":2014},[],{"categories":2016},[],{"categories":2018},[78],{"categories":2020},[],{"categories":2022},[],{"categories":2024},[138],{"categories":2026},[147],{"categories":2028},[78],{"categories":2030},[135],{"categories":2032},[135],{"categories":2034},[130],{"categories":2036},[135],{"categories":2038},[281],{"categories":2040},[78],{"categories":2042},[78],{"categories":2044},[78],{"categories":2046},[158],{"categories":2048},[78],{"categories":2050},[78],{"categories":2052},[147],{"categories":2054},[135],{"categories":2056},[78],{"categories":2058},[78],{"categories":2060},[396],{"categories":2062},[866],{"categories":2064},[],{"categories":2066},[215],{"categories":2068},[1736],{"categories":2070},[147],{"categories":2072},[],{"categories":2074},[],{"categories":2076},[78],{"categories":2078},[135],{"categories":2080},[],{"categories":2082},[],{"categories":2084},[78],{"categories":2086},[244],{"categories":2088},[78],{"categories":2090},[244],{"categories":2092},[135],{"categories":2094},[78],{"categories":2096},[147],{"categories":2098},[138],{"categories":2100},[],{"categories":2102},[78],{"categories":2104},[78],{"categories":2106},[147],{"categories":2108},[1675],{"categories":2110},[215],{"categories":2112},[215],{"categories":2114},[78],{"categories":2116},[135],{"categories":2118},[125],{"categories":2120},[78],{"categories":2122},[78],{"categories":2124},[78],{"categories":2126},[215],{"categories":2128},[215],{"categories":2130},[135],{"categories":2132},[135],{"categories":2134},[135],{"categories":2136},[78],{"categories":2138},[78],{"categories":2140},[],{"categories":2142},[78],{"categories":2144},[],{"categories":2146},[2147],"Interaction & Product Design",{"categories":2149},[78],{"categories":2151},[135],{"categories":2153},[147],{"categories":2155},[310],{"categories":2157},[169],{"categories":2159},[147],{"categories":2161},[78],{"categories":2163},[78],{"categories":2165},[147],{"categories":2167},[125],{"categories":2169},[135],{"categories":2171},[78],{"categories":2173},[],{"categories":2175},[135],{"categories":2177},[135],{"categories":2179},[],{"categories":2181},[147],{"categories":2183},[78],{"categories":2185},[125],{"categories":2187},[2147],{"categories":2189},[78],{"categories":2191},[125],{"categories":2193},[125],{"categories":2195},[],{"categories":2197},[135],{"categories":2199},[147],{"categories":2201},[],{"categories":2203},[135],{"categories":2205},[169],{"categories":2207},[78],{"categories":2209},[135],{"categories":2211},[78],{"categories":2213},[135],{"categories":2215},[78],{"categories":2217},[78],{"categories":2219},[169],{"categories":2221},[172],{"categories":2223},[78],{"categories":2225},[138],{"categories":2227},[147],{"categories":2229},[2230],"Coding Agents & Dev Productivity",{"categories":2232},[169],{"categories":2234},[215],{"categories":2236},[78],{"categories":2238},[78],{"categories":2240},[],{"categories":2242},[78],{"categories":2244},[866],{"categories":2246},[],{"categories":2248},[78],{"categories":2250},[281],{"categories":2252},[78],{"categories":2254},[169],{"categories":2256},[],{"categories":2258},[],{"categories":2260},[78],{"categories":2262},[],{"categories":2264},[135],{"categories":2266},[78],{"categories":2268},[],{"categories":2270},[147],{"categories":2272},[147],{"categories":2274},[78],{"categories":2276},[172],{"categories":2278},[],{"categories":2280},[78],{"categories":2282},[78],{"categories":2284},[78],{"categories":2286},[172],{"categories":2288},[147],{"categories":2290},[135],{"categories":2292},[],{"categories":2294},[],{"categories":2296},[78],{"categories":2298},[78],{"categories":2300},[135],{"categories":2302},[135],{"categories":2304},[373],{"categories":2306},[147],{"categories":2308},[147],{"categories":2310},[135],{"categories":2312},[169],{"categories":2314},[169],{"categories":2316},[135],{"categories":2318},[135],{"categories":2320},[78],{"categories":2322},[125],{"categories":2324},[2147],{"categories":2326},[138],{"categories":2328},[78,281],{"categories":2330},[172],{"categories":2332},[],{"categories":2334},[215],{"categories":2336},[135],{"categories":2338},[147],{"categories":2340},[125],{"categories":2342},[78],{"categories":2344},[135],{"categories":2346},[2347],"The Designer's Role & Craft",{"categories":2349},[215],{"categories":2351},[],{"categories":2353},[135],{"categories":2355},[78],{"categories":2357},[135],{"categories":2359},[135],{"categories":2361},[78],{"categories":2363},[244],{"categories":2365},[78],{"categories":2367},[147],{"categories":2369},[78],{"categories":2371},[215],{"categories":2373},[78],{"categories":2375},[],{"categories":2377},[135],{"categories":2379},[215],{"categories":2381},[78],{"categories":2383},[78],{"categories":2385},[78],{"categories":2387},[2388],"AI UX Patterns",{"categories":2390},[135],{"categories":2392},[135],{"categories":2394},[135],{"categories":2396},[135],{"categories":2398},[244],{"categories":2400},[172],{"categories":2402},[78],{"categories":2404},[135],{"categories":2406},[78],{"categories":2408},[1200],{"categories":2410},[],{"categories":2412},[244],{"categories":2414},[135],{"categories":2416},[169],{"categories":2418},[147],{"categories":2420},[78],{"categories":2422},[135],{"categories":2424},[],{"categories":2426},[],{"categories":2428},[78],{"categories":2430},[135],{"categories":2432},[78],{"categories":2434},[135],{"categories":2436},[373],{"categories":2438},[215],{"categories":2440},[78],{"categories":2442},[169],{"categories":2444},[147],{"categories":2446},[78],{"categories":2448},[135],{"categories":2450},[135],{"categories":2452},[],{"categories":2454},[78],{"categories":2456},[],{"categories":2458},[],{"categories":2460},[78],{"categories":2462},[78],{"categories":2464},[78],{"categories":2466},[135],{"categories":2468},[147],{"categories":2470},[],{"categories":2472},[],{"categories":2474},[172],{"categories":2476},[158],{"categories":2478},[78],{"categories":2480},[78],{"categories":2482},[172],{"categories":2484},[78],{"categories":2486},[78],{"categories":2488},[169],{"categories":2490},[78],{"categories":2492},[78],{"categories":2494},[78],{"categories":2496},[135],{"categories":2498},[78],{"categories":2500},[135],{"categories":2502},[78],{"categories":2504},[78],{"categories":2506},[135],{"categories":2508},[],{"categories":2510},[],{"categories":2512},[78],{"categories":2514},[78],{"categories":2516},[281],{"categories":2518},[78],{"categories":2520},[],{"categories":2522},[],{"categories":2524},[215],{"categories":2526},[891],{"categories":2528},[135],{"categories":2530},[125],{"categories":2532},[2347],{"categories":2534},[],{"categories":2536},[],{"categories":2538},[78],{"categories":2540},[],{"categories":2542},[],{"categories":2544},[147],{"categories":2546},[169],{"categories":2548},[244],{"categories":2550},[135],{"categories":2552},[130],{"categories":2554},[78],{"categories":2556},[78],{"categories":2558},[130],{"categories":2560},[],{"categories":2562},[215],{"categories":2564},[138],{"categories":2566},[78],{"categories":2568},[78],{"categories":2570},[135],{"categories":2572},[130],{"categories":2574},[78],{"categories":2576},[78],{"categories":2578},[125],{"categories":2580},[78],{"categories":2582},[],{"categories":2584},[125],{"categories":2586},[78],{"categories":2588},[244],{"categories":2590},[135],{"categories":2592},[169],{"categories":2594},[78],{"categories":2596},[147],{"categories":2598},[78],{"categories":2600},[78],{"categories":2602},[130],{"categories":2604},[78],{"categories":2606},[78],{"categories":2608},[78],{"categories":2610},[135],{"categories":2612},[],{"categories":2614},[78],{"categories":2616},[147],{"categories":2618},[125],{"categories":2620},[78],{"categories":2622},[78],{"categories":2624},[78],{"categories":2626},[],{"categories":2628},[78],{"categories":2630},[452],{"categories":2632},[135],{"categories":2634},[130],{"categories":2636},[169],{"categories":2638},[78],{"categories":2640},[78],{"categories":2642},[],{"categories":2644},[130],{"categories":2646},[130],{"categories":2648},[78],{"categories":2650},[78],{"categories":2652},[138],{"categories":2654},[78],{"categories":2656},[78],{"categories":2658},[78],{"categories":2660},[78],{"categories":2662},[147],{"categories":2664},[147],{"categories":2666},[78],{"categories":2668},[],{"categories":2670},[147],{"categories":2672},[78],{"categories":2674},[147],{"categories":2676},[135],{"categories":2678},[547],{"categories":2680},[],{"categories":2682},[],{"categories":2684},[78],{"categories":2686},[169],{"categories":2688},[],{"categories":2690},[281],{"categories":2692},[78],{"categories":2694},[78],{"categories":2696},[78],{"categories":2698},[215],{"categories":2700},[855],{"categories":2702},[],{"categories":2704},[78],{"categories":2706},[78],{"categories":2708},[78],{"categories":2710},[147],{"categories":2712},[78],{"categories":2714},[78],{"categories":2716},[78,281],{"categories":2718},[78],{"categories":2720},[78],{"categories":2722},[215],{"categories":2724},[135],{"categories":2726},[],{"categories":2728},[135],{"categories":2730},[135],{"categories":2732},[78],{"categories":2734},[78],{"categories":2736},[78],{"categories":2738},[78],{"categories":2740},[172],{"categories":2742},[78],{"categories":2744},[2388],{"categories":2746},[125],{"categories":2748},[172],{"categories":2750},[125],{"categories":2752},[147],{"categories":2754},[215],{"categories":2756},[135],{"categories":2758},[78],{"categories":2760},[],{"categories":2762},[130],{"categories":2764},[78],{"categories":2766},[78],{"categories":2768},[169],{"categories":2770},[78],{"categories":2772},[78],{"categories":2774},[135],{"categories":2776},[78],{"categories":2778},[78],{"categories":2780},[78],{"categories":2782},[130],{"categories":2784},[],{"categories":2786},[281],{"categories":2788},[78],{"categories":2790},[373],{"categories":2792},[215],{"categories":2794},[215],{"categories":2796},[147],{"categories":2798},[135],{"categories":2800},[78],{"categories":2802},[130],{"categories":2804},[169],{"categories":2806},[78],{"categories":2808},[78],{"categories":2810},[215],{"categories":2812},[135],{"categories":2814},[135],{"categories":2816},[78],{"categories":2818},[78],{"categories":2820},[509],{"categories":2822},[],{"categories":2824},[78],{"categories":2826},[78],{"categories":2828},[78],{"categories":2830},[],{"categories":2832},[],{"categories":2834},[78],{"categories":2836},[78],{"categories":2838},[135],{"categories":2840},[78],{"categories":2842},[78],{"categories":2844},[78],{"categories":2846},[147],{"categories":2848},[78],{"categories":2850},[78],{"categories":2852},[135],{"categories":2854},[78],{"categories":2856},[78],{"categories":2858},[78],{"categories":2860},[78],{"categories":2862},[78],{"categories":2864},[],{"categories":2866},[147],{"categories":2868},[172],{"categories":2870},[78],{"categories":2872},[135],{"categories":2874},[78],{"categories":2876},[],{"categories":2878},[],{"categories":2880},[78],{"categories":2882},[78],{"categories":2884},[78],{"categories":2886},[169],{"categories":2888},[172],{"categories":2890},[],{"categories":2892},[78],{"categories":2894},[215],{"categories":2896},[78],{"categories":2898},[281],{"categories":2900},[1736],{"categories":2902},[169],{"categories":2904},[147],{"categories":2906},[78],{"categories":2908},[147],{"categories":2910},[147],{"categories":2912},[78],{"categories":2914},[78],{"categories":2916},[147],{"categories":2918},[169],{"categories":2920},[169],{"categories":2922},[281],{"categories":2924},[135],{"categories":2926},[],{"categories":2928},[169],{"categories":2930},[78],{"categories":2932},[125],{"categories":2934},[147],{"categories":2936},[78],{"categories":2938},[169],{"categories":2940},[],{"categories":2942},[78],{"categories":2944},[147],{"categories":2946},[147],{"categories":2948},[172],{"categories":2950},[78],{"categories":2952},[169],{"categories":2954},[78],{"categories":2956},[147],{"categories":2958},[135],{"categories":2960},[169],{"categories":2962},[135],{"categories":2964},[281],{"categories":2966},[135],{"categories":2968},[78],{"categories":2970},[78],{"categories":2972},[78],{"categories":2974},[78],{"categories":2976},[147],{"categories":2978},[78],{"categories":2980},[],{"categories":2982},[135],{"categories":2984},[130],{"categories":2986},[147],{"categories":2988},[],{"categories":2990},[],{"categories":2992},[78],{"categories":2994},[135],{"categories":2996},[78],{"categories":2998},[78],{"categories":3000},[3001],"Frameworks & Tooling",{"categories":3003},[78],{"categories":3005},[78],{"categories":3007},[147],{"categories":3009},[78],{"categories":3011},[78],{"categories":3013},[],{"categories":3015},[172],{"categories":3017},[172],{"categories":3019},[125],{"categories":3021},[78],{"categories":3023},[135],{"categories":3025},[78],{"categories":3027},[215],{"categories":3029},[],{"categories":3031},[1736],{"categories":3033},[78],{"categories":3035},[147],{"categories":3037},[78],{"categories":3039},[281],{"categories":3041},[281],{"categories":3043},[],{"categories":3045},[135],{"categories":3047},[78],{"categories":3049},[78],{"categories":3051},[169],{"categories":3053},[169],{"categories":3055},[78],{"categories":3057},[135],{"categories":3059},[],{"categories":3061},[215],{"categories":3063},[78],{"categories":3065},[78],{"categories":3067},[],{"categories":3069},[78],{"categories":3071},[135],{"categories":3073},[78],{"categories":3075},[78],{"categories":3077},[78],{"categories":3079},[],{"categories":3081},[147],{"categories":3083},[78],{"categories":3085},[147],{"categories":3087},[281],{"categories":3089},[78],{"categories":3091},[78],{"categories":3093},[147],{"categories":3095},[130],{"categories":3097},[78],{"categories":3099},[1736],{"categories":3101},[],{"categories":3103},[135],{"categories":3105},[125],{"categories":3107},[78],{"categories":3109},[125],{"categories":3111},[78],{"categories":3113},[],{"categories":3115},[135],{"categories":3117},[78],{"categories":3119},[78],{"categories":3121},[3122],"AI Design Tooling",{"categories":3124},[215],{"categories":3126},[78],{"categories":3128},[78],{"categories":3130},[147],{"categories":3132},[215],{"categories":3134},[78],{"categories":3136},[147],{"categories":3138},[169],{"categories":3140},[138],{"categories":3142},[147],{"categories":3144},[78],{"categories":3146},[78],{"categories":3148},[78],{"categories":3150},[135],{"categories":3152},[78],{"categories":3154},[],{"categories":3156},[78],{"categories":3158},[78],{"categories":3160},[135],{"categories":3162},[78],{"categories":3164},[78],{"categories":3166},[78],{"categories":3168},[135],{"categories":3170},[],{"categories":3172},[135],{"categories":3174},[3001],{"categories":3176},[78],{"categories":3178},[78],{"categories":3180},[135],{"categories":3182},[135],{"categories":3184},[147],{"categories":3186},[147],{"categories":3188},[],{"categories":3190},[147],{"categories":3192},[78],{"categories":3194},[78],{"categories":3196},[135],{"categories":3198},[130],{"categories":3200},[78],{"categories":3202},[],{"categories":3204},[78],{"categories":3206},[78],{"categories":3208},[2147],{"categories":3210},[],{"categories":3212},[78],{"categories":3214},[78],{"categories":3216},[78],{"categories":3218},[78],{"categories":3220},[215],{"categories":3222},[78],{"categories":3224},[],{"categories":3226},[78],{"categories":3228},[78],{"categories":3230},[78],{"categories":3232},[244],{"categories":3234},[169],{"categories":3236},[78],{"categories":3238},[78],{"categories":3240},[1736],{"categories":3242},[125],{"categories":3244},[78],{"categories":3246},[78],{"categories":3248},[172],{"categories":3250},[78],{"categories":3252},[78],{"categories":3254},[169],{"categories":3256},[135],{"categories":3258},[],{"categories":3260},[78],{"categories":3262},[78],{"categories":3264},[215],{"categories":3266},[78],{"categories":3268},[244],{"categories":3270},[135],{"categories":3272},[78],{"categories":3274},[135],{"categories":3276},[],{"categories":3278},[],{"categories":3280},[],{"categories":3282},[125],{"categories":3284},[169],{"categories":3286},[135],{"categories":3288},[78],{"categories":3290},[78],{"categories":3292},[78],{"categories":3294},[78],{"categories":3296},[396],{"categories":3298},[215],{"categories":3300},[135],{"categories":3302},[78],{"categories":3304},[],{"categories":3306},[135],{"categories":3308},[135],{"categories":3310},[],{"categories":3312},[78],{"categories":3314},[135],{"categories":3316},[78],{"categories":3318},[],{"categories":3320},[78],{"categories":3322},[78],{"categories":3324},[78],{"categories":3326},[169],{"categories":3328},[215],{"categories":3330},[135],{"categories":3332},[215],{"categories":3334},[135],{"categories":3336},[78],{"categories":3338},[130],{"categories":3340},[],{"categories":3342},[],{"categories":3344},[78],{"categories":3346},[78],{"categories":3348},[78],{"categories":3350},[125],{"categories":3352},[135],{"categories":3354},[169],{"categories":3356},[],{"categories":3358},[215],{"categories":3360},[],{"categories":3362},[147],{"categories":3364},[78],{"categories":3366},[147],{"categories":3368},[215],{"categories":3370},[147],{"categories":3372},[78],{"categories":3374},[],{"categories":3376},[78],{"categories":3378},[78],{"categories":3380},[],{"categories":3382},[78],{"categories":3384},[244],{"categories":3386},[78],{"categories":3388},[281],{"categories":3390},[147],{"categories":3392},[78],{"categories":3394},[],{"categories":3396},[135],{"categories":3398},[78],{"categories":3400},[125],{"categories":3402},[509],{"categories":3404},[78],{"categories":3406},[135],{"categories":3408},[78],{"categories":3410},[135],{"categories":3412},[78],{"categories":3414},[78],{"categories":3416},[78],{"categories":3418},[78],{"categories":3420},[],{"categories":3422},[78],{"categories":3424},[125],{"categories":3426},[78],{"categories":3428},[130],{"categories":3430},[147],{"categories":3432},[215],{"categories":3434},[],{"categories":3436},[78],{"categories":3438},[],{"categories":3440},[],{"categories":3442},[135],{"categories":3444},[78],{"categories":3446},[147],{"categories":3448},[215],{"categories":3450},[169],{"categories":3452},[78],{"categories":3454},[169],{"categories":3456},[135],{"categories":3458},[215],{"categories":3460},[78],{"categories":3462},[],{"categories":3464},[78],{"categories":3466},[158],{"categories":3468},[135],{"categories":3470},[78],{"categories":3472},[215],{"categories":3474},[169],{"categories":3476},[130],{"categories":3478},[147],{"categories":3480},[78],{"categories":3482},[78],{"categories":3484},[78],{"categories":3486},[169],{"categories":3488},[244],{"categories":3490},[],{"categories":3492},[],{"categories":3494},[172],{"categories":3496},[452],{"categories":3498},[78],{"categories":3500},[135],{"categories":3502},[78,147],{"categories":3504},[169],{"categories":3506},[78],{"categories":3508},[78],{"categories":3510},[78],{"categories":3512},[78],{"categories":3514},[78],{"categories":3516},[135],{"categories":3518},[78],{"categories":3520},[135],{"categories":3522},[78],{"categories":3524},[78],{"categories":3526},[78],{"categories":3528},[],{"categories":3530},[78],{"categories":3532},[1200],{"categories":3534},[147],{"categories":3536},[215],{"categories":3538},[78],{"categories":3540},[78],{"categories":3542},[78],{"categories":3544},[172],{"categories":3546},[135],{"categories":3548},[244],{"categories":3550},[281],{"categories":3552},[],{"categories":3554},[78],{"categories":3556},[130],{"categories":3558},[135],{"categories":3560},[125],{"categories":3562},[135],{"categories":3564},[78],{"categories":3566},[135],{"categories":3568},[135],{"categories":3570},[138],{"categories":3572},[147],{"categories":3574},[78],{"categories":3576},[78],{"categories":3578},[],{"categories":3580},[],{"categories":3582},[],{"categories":3584},[281],{"categories":3586},[78],{"categories":3588},[169],{"categories":3590},[78],{"categories":3592},[78],{"categories":3594},[78],{"categories":3596},[78],{"categories":3598},[],{"categories":3600},[78],{"categories":3602},[172],{"categories":3604},[130],{"categories":3606},[135],{"categories":3608},[78],{"categories":3610},[],{"categories":3612},[78],{"categories":3614},[135],{"categories":3616},[78],{"categories":3618},[281],{"categories":3620},[],{"categories":3622},[215],{"categories":3624},[215],{"categories":3626},[78],{"categories":3628},[],{"categories":3630},[147],{"categories":3632},[78],{"categories":3634},[215],{"categories":3636},[78],{"categories":3638},[130],{"categories":3640},[135],{"categories":3642},[78],{"categories":3644},[],{"categories":3646},[169],{"categories":3648},[78],{"categories":3650},[78],{"categories":3652},[78],{"categories":3654},[215],{"categories":3656},[135],{"categories":3658},[169],{"categories":3660},[],{"categories":3662},[135],{"categories":3664},[130],{"categories":3666},[135],{"categories":3668},[215],{"categories":3670},[78],{"categories":3672},[78],{"categories":3674},[78],{"categories":3676},[452],{"categories":3678},[78],{"categories":3680},[135],{"categories":3682},[],{"categories":3684},[78],{"categories":3686},[78],{"categories":3688},[281],{"categories":3690},[169],{"categories":3692},[172],{"categories":3694},[547],{"categories":3696},[172],{"categories":3698},[78],{"categories":3700},[],{"categories":3702},[],{"categories":3704},[],{"categories":3706},[135],{"categories":3708},[135],{"categories":3710},[135],{"categories":3712},[147],{"categories":3714},[78],{"categories":3716},[429],{"categories":3718},[147],{"categories":3720},[78],{"categories":3722},[78],{"categories":3724},[78],{"categories":3726},[78],{"categories":3728},[135],{"categories":3730},[],{"categories":3732},[],{"categories":3734},[78],{"categories":3736},[],{"categories":3738},[78],{"categories":3740},[135],{"categories":3742},[215],{"categories":3744},[78],{"categories":3746},[78],{"categories":3748},[],{"categories":3750},[135],{"categories":3752},[78],{"categories":3754},[138],{"categories":3756},[78],{"categories":3758},[215],{"categories":3760},[78],{"categories":3762},[135],{"categories":3764},[130],{"categories":3766},[78],{"categories":3768},[244],{"categories":3770},[135],{"categories":3772},[78],{"categories":3774},[78],{"categories":3776},[855],{"categories":3778},[78],{"categories":3780},[135],{"categories":3782},[78],{"categories":3784},[147],{"categories":3786},[78],{"categories":3788},[509],{"categories":3790},[215],{"categories":3792},[],{"categories":3794},[78],{"categories":3796},[78],{"categories":3798},[169],{"categories":3800},[452],{"categories":3802},[135],{"categories":3804},[78],{"categories":3806},[],{"categories":3808},[169],{"categories":3810},[373],{"categories":3812},[135],{"categories":3814},[135],{"categories":3816},[135],{"categories":3818},[78],{"categories":3820},[78],{"categories":3822},[135],{"categories":3824},[],{"categories":3826},[130],{"categories":3828},[78],{"categories":3830},[130],{"categories":3832},[135],{"categories":3834},[],{"categories":3836},[147],{"categories":3838},[78],{"categories":3840},[78],{"categories":3842},[125],{"categories":3844},[169],{"categories":3846},[281],{"categories":3848},[158],{"categories":3850},[135],{"categories":3852},[135],{"categories":3854},[78],{"categories":3856},[135],{"categories":3858},[78],{"categories":3860},[125],{"categories":3862},[],{"categories":3864},[78],{"categories":3866},[78],{"categories":3868},[78],{"categories":3870},[135],{"categories":3872},[78],{"categories":3874},[],{"categories":3876},[78],{"categories":3878},[],{"categories":3880},[215],{"categories":3882},[135],{"categories":3884},[78,130],{"categories":3886},[135],{"categories":3888},[78],{"categories":3890},[],{"categories":3892},[125],{"categories":3894},[172],{"categories":3896},[130],{"categories":3898},[78],{"categories":3900},[147],{"categories":3902},[78],{"categories":3904},[78],{"categories":3906},[135],{"categories":3908},[78],{"categories":3910},[78],{"categories":3912},[78],{"categories":3914},[169],{"categories":3916},[1200],{"categories":3918},[135],{"categories":3920},[78],{"categories":3922},[],{"categories":3924},[],{"categories":3926},[78],{"categories":3928},[135],{"categories":3930},[78],{"categories":3932},[78],{"categories":3934},[281],{"categories":3936},[],{"categories":3938},[78],{"categories":3940},[135],{"categories":3942},[158],{"categories":3944},[135],{"categories":3946},[452],{"categories":3948},[],{"categories":3950},[396],{"categories":3952},[135],{"categories":3954},[78],{"categories":3956},[78],{"categories":3958},[244],{"categories":3960},[135],{"categories":3962},[78],{"categories":3964},[172],{"categories":3966},[138],{"categories":3968},[135],{"categories":3970},[78],{"categories":3972},[452],{"categories":3974},[78],{"categories":3976},[281],{"categories":3978},[130],{"categories":3980},[],{"categories":3982},[78],{"categories":3984},[244],{"categories":3986},[215],{"categories":3988},[78],{"categories":3990},[78],{"categories":3992},[78],{"categories":3994},[],{"categories":3996},[244],{"categories":3998},[169],{"categories":4000},[78],{"categories":4002},[78],{"categories":4004},[78],{"categories":4006},[547],{"categories":4008},[125],{"categories":4010},[78],{"categories":4012},[138],{"categories":4014},[78],{"categories":4016},[],{"categories":4018},[],{"categories":4020},[215],{"categories":4022},[78],{"categories":4024},[172],{"categories":4026},[244],{"categories":4028},[135],{"categories":4030},[78],{"categories":4032},[78],{"categories":4034},[244],{"categories":4036},[169],{"categories":4038},[],{"categories":4040},[78],{"categories":4042},[78],{"categories":4044},[],{"categories":4046},[78],{"categories":4048},[78],{"categories":4050},[572],{"categories":4052},[78],{"categories":4054},[78],{"categories":4056},[135],{"categories":4058},[147],{"categories":4060},[452],{"categories":4062},[78],{"categories":4064},[78],{"categories":4066},[78],{"categories":4068},[],{"categories":4070},[78,147],{"categories":4072},[169],{"categories":4074},[135],{"categories":4076},[147],{"categories":4078},[135],{"categories":4080},[891],{"categories":4082},[147],{"categories":4084},[147],{"categories":4086},[135],{"categories":4088},[78],{"categories":4090},[125],{"categories":4092},[],{"categories":4094},[],{"categories":4096},[135],{"categories":4098},[78],{"categories":4100},[147],{"categories":4102},[78],{"categories":4104},[125],{"categories":4106},[147],{"categories":4108},[147],{"categories":4110},[78],{"categories":4112},[244],{"categories":4114},[78],{"categories":4116},[147],{"categories":4118},[78],{"categories":4120},[],{"categories":4122},[78],{"categories":4124},[215,78],{"categories":4126},[281],{"categories":4128},[125],{"categories":4130},[78],{"categories":4132},[],{"categories":4134},[78],{"categories":4136},[78],{"categories":4138},[130],{"categories":4140},[78],{"categories":4142},[130],{"categories":4144},[78],{"categories":4146},[78],{"categories":4148},[373],{"categories":4150},[78],{"categories":4152},[130],{"categories":4154},[147],{"categories":4156},[172],{"categories":4158},[135],{"categories":4160},[147],{"categories":4162},[78],{"categories":4164},[78],{"categories":4166},[169],{"categories":4168},[244],{"categories":4170},[215],{"categories":4172},[78],{"categories":4174},[78],{"categories":4176},[78],{"categories":4178},[78],{"categories":4180},[125],{"categories":4182},[78],{"categories":4184},[135],{"categories":4186},[135],{"categories":4188},[147],{"categories":4190},[169],{"categories":4192},[147],{"categories":4194},[147],{"categories":4196},[78],{"categories":4198},[78],{"categories":4200},[],{"categories":4202},[],{"categories":4204},[172],{"categories":4206},[78],{"categories":4208},[147],{"categories":4210},[78],{"categories":4212},[215],{"categories":4214},[452],{"categories":4216},[396],{"categories":4218},[373],{"categories":4220},[78],{"categories":4222},[78],{"categories":4224},[78],{"categories":4226},[172],{"categories":4228},[78],{"categories":4230},[78],{"categories":4232},[78],{"categories":4234},[78],{"categories":4236},[78],{"categories":4238},[78],{"categories":4240},[135],{"categories":4242},[125],{"categories":4244},[135],{"categories":4246},[78,130],{"categories":4248},[],{"categories":4250},[215],{"categories":4252},[],{"categories":4254},[138],{"categories":4256},[78],{"categories":4258},[169],{"categories":4260},[125],{"categories":4262},[78],{"categories":4264},[125],{"categories":4266},[135],{"categories":4268},[172],{"categories":4270},[135],{"categories":4272},[135],{"categories":4274},[78],{"categories":4276},[78],{"categories":4278},[130],{"categories":4280},[135],{"categories":4282},[147],{"categories":4284},[244],{"categories":4286},[78],{"categories":4288},[],{"categories":4290},[169],{"categories":4292},[78],{"categories":4294},[78],{"categories":4296},[78],{"categories":4298},[78],{"categories":4300},[78],{"categories":4302},[78],{"categories":4304},[147],{"categories":4306},[169],{"categories":4308},[147],{"categories":4310},[147],{"categories":4312},[78],{"categories":4314},[78],{"categories":4316},[78],{"categories":4318},[78],{"categories":4320},[396],{"categories":4322},[78],{"categories":4324},[135],{"categories":4326},[169],{"categories":4328},[78],{"categories":4330},[78],{"categories":4332},[78],{"categories":4334},[135],{"categories":4336},[78],{"categories":4338},[78],{"categories":4340},[78],{"categories":4342},[3001],{"categories":4344},[4345],"Clinical AI",{"categories":4347},[215],{"categories":4349},[78],{"categories":4351},[78],{"categories":4353},[78],{"categories":4355},[78],{"categories":4357},[281],{"categories":4359},[2388],{"categories":4361},[78],{"categories":4363},[138],{"categories":4365},[78],{"categories":4367},[135],{"categories":4369},[78],{"categories":4371},[78],{"categories":4373},[169],{"categories":4375},[78],{"categories":4377},[135],{"categories":4379},[147],{"categories":4381},[244],{"categories":4383},[78],{"categories":4385},[78],{"categories":4387},[130],{"categories":4389},[78],{"categories":4391},[78],{"categories":4393},[509],{"categories":4395},[78],{"categories":4397},[],{"categories":4399},[78],{"categories":4401},[147],{"categories":4403},[125],{"categories":4405},[78],{"categories":4407},[],{"categories":4409},[],{"categories":4411},[78],{"categories":4413},[],{"categories":4415},[130],{"categories":4417},[78],{"categories":4419},[78],{"categories":4421},[135],{"categories":4423},[169],{"categories":4425},[169],{"categories":4427},[169],{"categories":4429},[169],{"categories":4431},[],{"categories":4433},[125],{"categories":4435},[135],{"categories":4437},[169],{"categories":4439},[78],{"categories":4441},[572],{"categories":4443},[138],{"categories":4445},[78],{"categories":4447},[125],{"categories":4449},[78],{"categories":4451},[135],{"categories":4453},[78],{"categories":4455},[78],{"categories":4457},[78,135],{"categories":4459},[135],{"categories":4461},[281],{"categories":4463},[169],{"categories":4465},[135],{"categories":4467},[169],{"categories":4469},[135],{"categories":4471},[78],{"categories":4473},[],{"categories":4475},[169],{"categories":4477},[244],{"categories":4479},[125],{"categories":4481},[78],{"categories":4483},[78],{"categories":4485},[],{"categories":4487},[147],{"categories":4489},[],{"categories":4491},[125],{"categories":4493},[135],{"categories":4495},[169],{"categories":4497},[78],{"categories":4499},[169],{"categories":4501},[125],{"categories":4503},[169],{"categories":4505},[169],{"categories":4507},[],{"categories":4509},[130],{"categories":4511},[135],{"categories":4513},[169],{"categories":4515},[169],{"categories":4517},[169],{"categories":4519},[169],{"categories":4521},[169],{"categories":4523},[169],{"categories":4525},[169],{"categories":4527},[169],{"categories":4529},[169],{"categories":4531},[169],{"categories":4533},[172],{"categories":4535},[125],{"categories":4537},[78],{"categories":4539},[78],{"categories":4541},[135],{"categories":4543},[135],{"categories":4545},[],{"categories":4547},[78],{"categories":4549},[78,125],{"categories":4551},[],{"categories":4553},[135],{"categories":4555},[78],{"categories":4557},[169],{"categories":4559},[135],{"categories":4561},[891],{"categories":4563},[78],{"categories":4565},[78],{"categories":4567},[78],{"categories":4569},[78],{"categories":4571},[78],{"categories":4573},[373],{"categories":4575},[78],{"categories":4577},[78],{"categories":4579},[135],{"categories":4581},[78],{"categories":4583},[130],{"categories":4585},[138],{"categories":4587},[135],{"categories":4589},[135],{"categories":4591},[],{"categories":4593},[135],{"categories":4595},[215],{"categories":4597},[169],{"categories":4599},[78],{"categories":4601},[],{"categories":4603},[138],{"categories":4605},[],{"categories":4607},[147],{"categories":4609},[135],{"categories":4611},[215],{"categories":4613},[78],{"categories":4615},[],{"categories":4617},[78],{"categories":4619},[],{"categories":4621},[244],{"categories":4623},[78],{"categories":4625},[],{"categories":4627},[],{"categories":4629},[169],{"categories":4631},[125],{"categories":4633},[78],{"categories":4635},[78],{"categories":4637},[130],{"categories":4639},[78],{"categories":4641},[78],{"categories":4643},[78],{"categories":4645},[130],{"categories":4647},[130],{"categories":4649},[215],{"categories":4651},[],{"categories":4653},[78],{"categories":4655},[169],{"categories":4657},[],{"categories":4659},[78],{"categories":4661},[78],{"categories":4663},[215],{"categories":4665},[78],{"categories":4667},[78],{"categories":4669},[244],{"categories":4671},[78],{"categories":4673},[281],{"categories":4675},[],{"categories":4677},[135],{"categories":4679},[244],{"categories":4681},[147],{"categories":4683},[],{"categories":4685},[78],{"categories":4687},[],{"categories":4689},[135],{"categories":4691},[215],{"categories":4693},[147],{"categories":4695},[],{"categories":4697},[3001],{"categories":4699},[130],{"categories":4701},[125],{"categories":4703},[78],{"categories":4705},[172],{"categories":4707},[135],{"categories":4709},[215],{"categories":4711},[147],{"categories":4713},[],{"categories":4715},[],{"categories":4717},[78],{"categories":4719},[125],{"categories":4721},[78],{"categories":4723},[244],{"categories":4725},[],{"categories":4727},[135],{"categories":4729},[135],{"categories":4731},[78],{"categories":4733},[135],{"categories":4735},[78],{"categories":4737},[169],{"categories":4739},[147],{"categories":4741},[78],{"categories":4743},[135],{"categories":4745},[138],{"categories":4747},[78],{"categories":4749},[78],{"categories":4751},[135],{"categories":4753},[78],{"categories":4755},[138],{"categories":4757},[244],{"categories":4759},[169],{"categories":4761},[],{"categories":4763},[244],{"categories":4765},[78],{"categories":4767},[],{"categories":4769},[147],{"categories":4771},[135],{"categories":4773},[],{"categories":4775},[78],{"categories":4777},[78],{"categories":4779},[78],{"categories":4781},[78],{"categories":4783},[78],{"categories":4785},[135],{"categories":4787},[130],{"categories":4789},[125],{"categories":4791},[135],{"categories":4793},[78],{"categories":4795},[215],{"categories":4797},[147],{"categories":4799},[147],{"categories":4801},[78],{"categories":4803},[172],{"categories":4805},[135],{"categories":4807},[78],{"categories":4809},[78],{"categories":4811},[135],{"categories":4813},[78],{"categories":4815},[130],{"categories":4817},[215],{"categories":4819},[147],{"categories":4821},[135],{"categories":4823},[78],{"categories":4825},[138],{"categories":4827},[78],{"categories":4829},[135],{"categories":4831},[78],{"categories":4833},[78],{"categories":4835},[169],{"categories":4837},[78],{"categories":4839},[],{"categories":4841},[125],{"categories":4843},[78],{"categories":4845},[78],{"categories":4847},[78],{"categories":4849},[147],{"categories":4851},[147],{"categories":4853},[78],{"categories":4855},[147],{"categories":4857},[78],{"categories":4859},[135],{"categories":4861},[78],{"categories":4863},[78],{"categories":4865},[78],{"categories":4867},[78],{"categories":4869},[78],{"categories":4871},[],{"categories":4873},[78],{"categories":4875},[215],{"categories":4877},[135],{"categories":4879},[130],{"categories":4881},[169],{"categories":4883},[78],{"categories":4885},[135],{"categories":4887},[78],{"categories":4889},[135],{"categories":4891},[78],{"categories":4893},[78],{"categories":4895},[215],{"categories":4897},[135],{"categories":4899},[78],{"categories":4901},[244],{"categories":4903},[78],{"categories":4905},[172],{"categories":4907},[78],{"categories":4909},[78],{"categories":4911},[169],{"categories":4913},[78],{"categories":4915},[78],{"categories":4917},[78],{"categories":4919},[78],{"categories":4921},[135],{"categories":4923},[281],{"categories":4925},[78],{"categories":4927},[147],{"categories":4929},[135],{"categories":4931},[172],{"categories":4933},[],{"categories":4935},[135],{"categories":4937},[147],{"categories":4939},[78],{"categories":4941},[78],{"categories":4943},[2230],{"categories":4945},[215],{"categories":4947},[310],{"categories":4949},[78],{"categories":4951},[78],{"categories":4953},[78],{"categories":4955},[78],{"categories":4957},[125],{"categories":4959},[78],{"categories":4961},[78],{"categories":4963},[147],{"categories":4965},[130],{"categories":4967},[78],{"categories":4969},[147],{"categories":4971},[78],{"categories":4973},[],{"categories":4975},[135],{"categories":4977},[135],{"categories":4979},[78],{"categories":4981},[78],{"categories":4983},[172],{"categories":4985},[],{"categories":4987},[169],{"categories":4989},[],{"categories":4991},[169],{"categories":4993},[78],{"categories":4995},[78],{"categories":4997},[135],{"categories":4999},[78],{"categories":5001},[135],{"categories":5003},[135],{"categories":5005},[],{"categories":5007},[78],{"categories":5009},[169],{"categories":5011},[78],{"categories":5013},[],{"categories":5015},[78],{"categories":5017},[78],{"categories":5019},[],{"categories":5021},[78],{"categories":5023},[215],{"categories":5025},[147],{"categories":5027},[135],{"categories":5029},[78],{"categories":5031},[78],{"categories":5033},[78],{"categories":5035},[78],{"categories":5037},[244],{"categories":5039},[78],{"categories":5041},[78],{"categories":5043},[78],{"categories":5045},[125],{"categories":5047},[78],{"categories":5049},[78],{"categories":5051},[],{"categories":5053},[78],{"categories":5055},[78],{"categories":5057},[78],{"categories":5059},[],{"categories":5061},[125],{"categories":5063},[78],{"categories":5065},[78],{"categories":5067},[169],{"categories":5069},[147],{"categories":5071},[138],{"categories":5073},[452],{"categories":5075},[78],{"categories":5077},[78],{"categories":5079},[78],{"categories":5081},[147],{"categories":5083},[169],{"categories":5085},[215],{"categories":5087},[78],{"categories":5089},[78],{"categories":5091},[78],{"categories":5093},[78],{"categories":5095},[169],{"categories":5097},[215],{"categories":5099},[78],{"categories":5101},[78],{"categories":5103},[169],{"categories":5105},[215],{"categories":5107},[78],{"categories":5109},[169],{"categories":5111},[78],{"categories":5113},[135],{"categories":5115},[135],{"categories":5117},[135],{"categories":5119},[147],{"categories":5121},[169],{"categories":5123},[135],{"categories":5125},[135],{"categories":5127},[78],{"categories":5129},[147],{"categories":5131},[215],{"categories":5133},[78],{"categories":5135},[78],{"categories":5137},[135],{"categories":5139},[78],{"categories":5141},[],{"categories":5143},[135],{"categories":5145},[],{"categories":5147},[78],{"categories":5149},[78],{"categories":5151},[],{"categories":5153},[],{"categories":5155},[135],{"categories":5157},[130],{"categories":5159},[135],{"categories":5161},[5162],"Liability & Ethics",{"categories":5164},[78],{"categories":5166},[78],{"categories":5168},[78],{"categories":5170},[135],{"categories":5172},[125],{"categories":5174},[135],{"categories":5176},[130],{"categories":5178},[244],{"categories":5180},[135],{"categories":5182},[78],{"categories":5184},[78],{"categories":5186},[],{"categories":5188},[547],{"categories":5190},[135],{"categories":5192},[],{"categories":5194},[78],{"categories":5196},[125],{"categories":5198},[135],{"categories":5200},[],{"categories":5202},[135],{"categories":5204},[78],{"categories":5206},[78],{"categories":5208},[147],{"categories":5210},[78],{"categories":5212},[169],{"categories":5214},[78],{"categories":5216},[78],{"categories":5218},[135],{"categories":5220},[78],{"categories":5222},[78],{"categories":5224},[78],{"categories":5226},[169],{"categories":5228},[135],{"categories":5230},[147],{"categories":5232},[215],{"categories":5234},[125],{"categories":5236},[78],{"categories":5238},[78],{"categories":5240},[],{"categories":5242},[135],{"categories":5244},[135],{"categories":5246},[135],{"categories":5248},[452],{"categories":5250},[215],{"categories":5252},[135],{"categories":5254},[281],{"categories":5256},[147],{"categories":5258},[169],{"categories":5260},[78],{"categories":5262},[215],{"categories":5264},[78],{"categories":5266},[125],{"categories":5268},[],{"categories":5270},[135],{"categories":5272},[78],{"categories":5274},[78],{"categories":5276},[78],{"categories":5278},[78],{"categories":5280},[135],{"categories":5282},[78],{"categories":5284},[78],{"categories":5286},[215],{"categories":5288},[],{"categories":5290},[135],{"categories":5292},[138],{"categories":5294},[169],{"categories":5296},[135],{"categories":5298},[130],{"categories":5300},[],{"categories":5302},[78],{"categories":5304},[78],{"categories":5306},[138],{"categories":5308},[78],{"categories":5310},[135],{"categories":5312},[169],{"categories":5314},[125],{"categories":5316},[281],{"categories":5318},[78],{"categories":5320},[78],{"categories":5322},[78],{"categories":5324},[169],{"categories":5326},[130],{"categories":5328},[78],{"categories":5330},[215],{"categories":5332},[169],{"categories":5334},[281],{"categories":5336},[78],{"categories":5338},[135],{"categories":5340},[],{"categories":5342},[509],{"categories":5344},[],{"categories":5346},[78],{"categories":5348},[281],{"categories":5350},[78],{"categories":5352},[172],{"categories":5354},[78],{"categories":5356},[135],{"categories":5358},[135],{"categories":5360},[5361],"Design News & Tools",{"categories":5363},[78],{"categories":5365},[169],{"categories":5367},[78],{"categories":5369},[78],{"categories":5371},[125],{"categories":5373},[78],{"categories":5375},[215],{"categories":5377},[135],{"categories":5379},[135],{"categories":5381},[215],{"categories":5383},[78],{"categories":5385},[452],{"categories":5387},[135],{"categories":5389},[78],{"categories":5391},[78],{"categories":5393},[452],{"categories":5395},[78],{"categories":5397},[244],{"categories":5399},[78],{"categories":5401},[135],{"categories":5403},[],{"categories":5405},[78],{"categories":5407},[78],{"categories":5409},[78],{"categories":5411},[169],{"categories":5413},[125],{"categories":5415},[],{"categories":5417},[78],{"categories":5419},[78],{"categories":5421},[78],{"categories":5423},[147],{"categories":5425},[572],{"categories":5427},[147],{"categories":5429},[215],{"categories":5431},[78],{"categories":5433},[78,135],{"categories":5435},[244,130],{"categories":5437},[147],{"categories":5439},[78],{"categories":5441},[78],{"categories":5443},[78],{"categories":5445},[78],{"categories":5447},[],{"categories":5449},[135],{"categories":5451},[78],{"categories":5453},[],{"categories":5455},[78],{"categories":5457},[147],{"categories":5459},[78],{"categories":5461},[147],{"categories":5463},[],{"categories":5465},[135],{"categories":5467},[78],{"categories":5469},[130],{"categories":5471},[78],{"categories":5473},[169],{"categories":5475},[78],{"categories":5477},[],{"categories":5479},[135],{"categories":5481},[78],{"categories":5483},[],{"categories":5485},[215],{"categories":5487},[78],{"categories":5489},[78],{"categories":5491},[135],{"categories":5493},[78],{"categories":5495},[78],{"categories":5497},[125],{"categories":5499},[135],{"categories":5501},[78],{"categories":5503},[],{"categories":5505},[78],{"categories":5507},[281],{"categories":5509},[244],{"categories":5511},[130],{"categories":5513},[130],{"categories":5515},[78],{"categories":5517},[125],{"categories":5519},[125],{"categories":5521},[78],{"categories":5523},[135],{"categories":5525},[78],{"categories":5527},[78],{"categories":5529},[78],{"categories":5531},[78],{"categories":5533},[147],{"categories":5535},[78],{"categories":5537},[125],{"categories":5539},[78],{"categories":5541},[135],{"categories":5543},[78],{"categories":5545},[244],{"categories":5547},[78],{"categories":5549},[169],{"categories":5551},[78],{"categories":5553},[78],{"categories":5555},[135],{"categories":5557},[78],{"categories":5559},[78],{"categories":5561},[135],{"categories":5563},[],{"categories":5565},[147],{"categories":5567},[],{"categories":5569},[147],{"categories":5571},[135],{"categories":5573},[125],{"categories":5575},[],{"categories":5577},[172],{"categories":5579},[281],{"categories":5581},[78],{"categories":5583},[147],{"categories":5585},[78],{"categories":5587},[],{"categories":5589},[169],{"categories":5591},[135],{"categories":5593},[147],{"categories":5595},[215],{"categories":5597},[78],{"categories":5599},[78],{"categories":5601},[135],{"categories":5603},[147],{"categories":5605},[135],{"categories":5607},[169],{"categories":5609},[78],{"categories":5611},[138],{"categories":5613},[125],{"categories":5615},[138],{"categories":5617},[169],{"categories":5619},[78],{"categories":5621},[147],{"categories":5623},[78],{"categories":5625},[215],{"categories":5627},[130],{"categories":5629},[78],{"categories":5631},[78],{"categories":5633},[78],{"categories":5635},[78],{"categories":5637},[78],{"categories":5639},[78],{"categories":5641},[135],{"categories":5643},[78],{"categories":5645},[135],{"categories":5647},[78],{"categories":5649},[78],{"categories":5651},[125],{"categories":5653},[78],{"categories":5655},[135],{"categories":5657},[135],{"categories":5659},[215],{"categories":5661},[135],{"categories":5663},[135],{"categories":5665},[78],{"categories":5667},[125],{"categories":5669},[135],{"categories":5671},[215],{"categories":5673},[],{"categories":5675},[78],{"categories":5677},[172],{"categories":5679},[452],{"categories":5681},[78],{"categories":5683},[78],{"categories":5685},[78],{"categories":5687},[147],{"categories":5689},[78],{"categories":5691},[],{"categories":5693},[78],{"categories":5695},[135],{"categories":5697},[78],{"categories":5699},[244],{"categories":5701},[78],{"categories":5703},[147],{"categories":5705},[78],{"categories":5707},[169],{"categories":5709},[135],{"categories":5711},[78],{"categories":5713},[244],{"categories":5715},[135],{"categories":5717},[130],{"categories":5719},[130],{"categories":5721},[78],{"categories":5723},[78],{"categories":5725},[78],{"categories":5727},[78],{"categories":5729},[78],{"categories":5731},[125],{"categories":5733},[],{"categories":5735},[78],{"categories":5737},[78],{"categories":5739},[135],{"categories":5741},[135],{"categories":5743},[78],{"categories":5745},[78],{"categories":5747},[78],{"categories":5749},[78],{"categories":5751},[147],{"categories":5753},[],{"categories":5755},[125],{"categories":5757},[78],{"categories":5759},[78],{"categories":5761},[135],{"categories":5763},[135],{"categories":5765},[],{"categories":5767},[147],{"categories":5769},[147],{"categories":5771},[78],{"categories":5773},[244],{"categories":5775},[130],{"categories":5777},[215],{"categories":5779},[],{"categories":5781},[78],{"categories":5783},[135],{"categories":5785},[125],{"categories":5787},[78],{"categories":5789},[78],{"categories":5791},[147],{"categories":5793},[125],{"categories":5795},[78],{"categories":5797},[78],{"categories":5799},[169],{"categories":5801},[172],{"categories":5803},[169],{"categories":5805},[135],{"categories":5807},[78],{"categories":5809},[],{"categories":5811},[169],{"categories":5813},[135],{"categories":5815},[215],{"categories":5817},[172],{"categories":5819},[78],{"categories":5821},[78],{"categories":5823},[],{"categories":5825},[135],{"categories":5827},[135],{"categories":5829},[135],{"categories":5831},[3001],{"categories":5833},[169],{"categories":5835},[78],{"categories":5837},[147],{"categories":5839},[78],{"categories":5841},[78],{"categories":5843},[78],{"categories":5845},[78],{"categories":5847},[130],{"categories":5849},[78],{"categories":5851},[125],{"categories":5853},[1736],{"categories":5855},[281],{"categories":5857},[125],{"categories":5859},[],{"categories":5861},[78],{"categories":5863},[],{"categories":5865},[169],{"categories":5867},[135],{"categories":5869},[215],{"categories":5871},[78],{"categories":5873},[78],{"categories":5875},[78],{"categories":5877},[169],{"categories":5879},[],{"categories":5881},[135],{"categories":5883},[135],{"categories":5885},[135],{"categories":5887},[],{"categories":5889},[78],{"categories":5891},[],{"categories":5893},[169],{"categories":5895},[125],{"categories":5897},[215],{"categories":5899},[78],{"categories":5901},[135],{"categories":5903},[169],{"categories":5905},[78],{"categories":5907},[169],{"categories":5909},[],{"categories":5911},[169],{"categories":5913},[125],{"categories":5915},[452],{"categories":5917},[135],{"categories":5919},[78],{"categories":5921},[],{"categories":5923},[147],{"categories":5925},[135],{"categories":5927},[138],{"categories":5929},[135],{"categories":5931},[125],{"categories":5933},[],{"categories":5935},[],{"categories":5937},[],{"categories":5939},[215],{"categories":5941},[135],{"categories":5943},[78],{"categories":5945},[78],{"categories":5947},[],{"categories":5949},[],{"categories":5951},[],{"categories":5953},[78],{"categories":5955},[215],{"categories":5957},[78],{"categories":5959},[],{"categories":5961},[135],{"categories":5963},[78],{"categories":5965},[78],{"categories":5967},[125],{"categories":5969},[],{"categories":5971},[],{"categories":5973},[78],{"categories":5975},[78],{"categories":5977},[135],{"categories":5979},[215],{"categories":5981},[78],{"categories":5983},[169],{"categories":5985},[],{"categories":5987},[78],{"categories":5989},[78],{"categories":5991},[244],{"categories":5993},[169],{"categories":5995},[244],{"categories":5997},[172],{"categories":5999},[78],{"categories":6001},[78],{"categories":6003},[],{"categories":6005},[],{"categories":6007},[135],{"categories":6009},[],{"categories":6011},[78],{"categories":6013},[452],{"categories":6015},[78],{"categories":6017},[78],{"categories":6019},[78],{"categories":6021},[78],{"categories":6023},[],{"categories":6025},[135],{"categories":6027},[78],{"categories":6029},[78],{"categories":6031},[],{"categories":6033},[135],{"categories":6035},[78],{"categories":6037},[169],{"categories":6039},[78],{"categories":6041},[244],{"categories":6043},[130],{"categories":6045},[78],{"categories":6047},[78],{"categories":6049},[135],{"categories":6051},[172],{"categories":6053},[135],{"categories":6055},[135],{"categories":6057},[],{"categories":6059},[135],{"categories":6061},[],{"categories":6063},[78],{"categories":6065},[],{"categories":6067},[169],{"categories":6069},[130],{"categories":6071},[],{"categories":6073},[78],{"categories":6075},[78],{"categories":6077},[],{"categories":6079},[215],{"categories":6081},[125],{"categories":6083},[],{"categories":6085},[130],{"categories":6087},[244],{"categories":6089},[78],{"categories":6091},[147],{"categories":6093},[125],{"categories":6095},[172],{"categories":6097},[130],{"categories":6099},[147],{"categories":6101},[135],{"categories":6103},[147],{"categories":6105},[],{"categories":6107},[78],{"categories":6109},[138],{"categories":6111},[78],{"categories":6113},[],{"categories":6115},[135],{"categories":6117},[125],{"categories":6119},[215],{"categories":6121},[78],{"categories":6123},[125],{"categories":6125},[135],{"categories":6127},[281],{"categories":6129},[78],{"categories":6131},[78],{"categories":6133},[78],{"categories":6135},[78],{"categories":6137},[125],{"categories":6139},[172],{"categories":6141},[135],{"categories":6143},[],{"categories":6145},[78],{"categories":6147},[78],{"categories":6149},[78],{"categories":6151},[147],{"categories":6153},[135],{"categories":6155},[169],{"categories":6157},[147],{"categories":6159},[78],{"categories":6161},[138],{"categories":6163},[],{"categories":6165},[215],{"categories":6167},[147],{"categories":6169},[169],{"categories":6171},[125],{"categories":6173},[135],{"categories":6175},[78],{"categories":6177},[78],{"categories":6179},[135],{"categories":6181},[138],{"categories":6183},[78],{"categories":6185},[135],{"categories":6187},[78],{"categories":6189},[130],{"categories":6191},[135],{"categories":6193},[135,281],{"categories":6195},[78],{"categories":6197},[78],{"categories":6199},[135],{"categories":6201},[147],{"categories":6203},[78],{"categories":6205},[78],{"categories":6207},[172],{"categories":6209},[135],{"categories":6211},[244],{"categories":6213},[135],{"categories":6215},[130],{"categories":6217},[],{"categories":6219},[135],{"categories":6221},[78],{"categories":6223},[130],{"categories":6225},[],{"categories":6227},[],{"categories":6229},[147],{"categories":6231},[78],{"categories":6233},[78],{"categories":6235},[135],{"categories":6237},[172],{"categories":6239},[244],{"categories":6241},[78],{"categories":6243},[78],{"categories":6245},[78],{"categories":6247},[135],{"categories":6249},[],{"categories":6251},[135],{"categories":6253},[169],{"categories":6255},[135],{"categories":6257},[78],{"categories":6259},[],{"categories":6261},[169],{"categories":6263},[147],{"categories":6265},[3001],{"categories":6267},[125],{"categories":6269},[147],{"categories":6271},[78],{"categories":6273},[135],{"categories":6275},[78],{"categories":6277},[78],{"categories":6279},[244],{"categories":6281},[147],{"categories":6283},[],{"categories":6285},[169],{"categories":6287},[78],{"categories":6289},[],{"categories":6291},[135],{"categories":6293},[78],{"categories":6295},[78],{"categories":6297},[78],{"categories":6299},[78],{"categories":6301},[135],{"categories":6303},[78],{"categories":6305},[78],{"categories":6307},[78],{"categories":6309},[138],{"categories":6311},[78],{"categories":6313},[135],{"categories":6315},[78],{"categories":6317},[78],{"categories":6319},[78],{"categories":6321},[78],{"categories":6323},[78],{"categories":6325},[78],{"categories":6327},[78],{"categories":6329},[130],{"categories":6331},[],{"categories":6333},[138],{"categories":6335},[169],{"categories":6337},[135],{"categories":6339},[78],{"categories":6341},[147],{"categories":6343},[],{"categories":6345},[147],{"categories":6347},[147],{"categories":6349},[135],{"categories":6351},[147],{"categories":6353},[78],{"categories":6355},[78],{"categories":6357},[78],{"categories":6359},[135],{"categories":6361},[147],{"categories":6363},[78],{"categories":6365},[78],{"categories":6367},[78],{"categories":6369},[135],{"categories":6371},[169],{"categories":6373},[78],{"categories":6375},[78],{"categories":6377},[78],{"categories":6379},[130],{"categories":6381},[78],{"categories":6383},[135],{"categories":6385},[215],{"categories":6387},[],{"categories":6389},[78],{"categories":6391},[172],{"categories":6393},[135],{"categories":6395},[78],{"categories":6397},[78],{"categories":6399},[],{"categories":6401},[78],{"categories":6403},[78],{"categories":6405},[169],{"categories":6407},[78],{"categories":6409},[78],{"categories":6411},[135],{"categories":6413},[244],{"categories":6415},[],{"categories":6417},[],{"categories":6419},[147],{"categories":6421},[78],{"categories":6423},[78],{"categories":6425},[169],{"categories":6427},[78],{"categories":6429},[147],{"categories":6431},[169],{"categories":6433},[78],{"categories":6435},[78],{"categories":6437},[244],{"categories":6439},[172],{"categories":6441},[78],{"categories":6443},[78],{"categories":6445},[125],{"categories":6447},[135],{"categories":6449},[78],{"categories":6451},[78],{"categories":6453},[135],{"categories":6455},[135],{"categories":6457},[78],{"categories":6459},[130],{"categories":6461},[],{"categories":6463},[78],{"categories":6465},[172],{"categories":6467},[78],{"categories":6469},[],{"categories":6471},[169],{"categories":6473},[78],{"categories":6475},[135],{"categories":6477},[172],{"categories":6479},[78],{"categories":6481},[147],{"categories":6483},[147],{"categories":6485},[147],{"categories":6487},[135],{"categories":6489},[135],{"categories":6491},[78],{"categories":6493},[135],{"categories":6495},[78],{"categories":6497},[78],{"categories":6499},[215],{"categories":6501},[172],{"categories":6503},[172],{"categories":6505},[],{"categories":6507},[169],{"categories":6509},[78],{"categories":6511},[78],{"categories":6513},[147],{"categories":6515},[],{"categories":6517},[169],{"categories":6519},[169],{"categories":6521},[169],{"categories":6523},[],{"categories":6525},[135],{"categories":6527},[78],{"categories":6529},[],{"categories":6531},[125],{"categories":6533},[130],{"categories":6535},[],{"categories":6537},[78],{"categories":6539},[78],{"categories":6541},[],{"categories":6543},[147],{"categories":6545},[],{"categories":6547},[],{"categories":6549},[],{"categories":6551},[],{"categories":6553},[78],{"categories":6555},[169],{"categories":6557},[],{"categories":6559},[],{"categories":6561},[78],{"categories":6563},[78],{"categories":6565},[78],{"categories":6567},[172],{"categories":6569},[78],{"categories":6571},[172],{"categories":6573},[],{"categories":6575},[172],{"categories":6577},[172],{"categories":6579},[281],{"categories":6581},[135],{"categories":6583},[147],{"categories":6585},[],{"categories":6587},[],{"categories":6589},[172],{"categories":6591},[147],{"categories":6593},[147],{"categories":6595},[147],{"categories":6597},[],{"categories":6599},[125],{"categories":6601},[147],{"categories":6603},[147],{"categories":6605},[125],{"categories":6607},[147],{"categories":6609},[130],{"categories":6611},[147],{"categories":6613},[147],{"categories":6615},[147],{"categories":6617},[172],{"categories":6619},[169],{"categories":6621},[169],{"categories":6623},[78],{"categories":6625},[147],{"categories":6627},[172],{"categories":6629},[281],{"categories":6631},[172],{"categories":6633},[172],{"categories":6635},[172],{"categories":6637},[],{"categories":6639},[130],{"categories":6641},[],{"categories":6643},[281],{"categories":6645},[147],{"categories":6647},[147],{"categories":6649},[147],{"categories":6651},[135],{"categories":6653},[169,130],{"categories":6655},[172],{"categories":6657},[],{"categories":6659},[],{"categories":6661},[172],{"categories":6663},[],{"categories":6665},[172],{"categories":6667},[169],{"categories":6669},[135],{"categories":6671},[],{"categories":6673},[147],{"categories":6675},[78],{"categories":6677},[215],{"categories":6679},[],{"categories":6681},[78],{"categories":6683},[],{"categories":6685},[169],{"categories":6687},[125],{"categories":6689},[172],{"categories":6691},[],{"categories":6693},[147],{"categories":6695},[169],[6697,6789,6879,6942],{"id":6698,"title":6699,"ai":6700,"body":6705,"categories":6768,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":6769,"navigation":99,"path":6774,"published_at":6775,"question":79,"scraped_at":6776,"seo":6777,"sitemap":6778,"source_id":6779,"source_name":106,"source_type":107,"source_url":6780,"stem":6781,"tags":6782,"thumbnail_url":6784,"tldr":6785,"tweet":6786,"unknown_tags":6787,"__hash__":6788},"summaries\u002Fsummaries\u002F4646a0660665a8b0-engineering-clinical-intelligence-at-scale-summary.md","Engineering Clinical Intelligence at Scale",{"provider":7,"model":8,"input_tokens":6701,"output_tokens":6702,"processing_time_ms":6703,"cost_usd":6704},8381,569,2746,0.00294875,{"type":14,"value":6706,"toc":6764},[6707,6711,6714,6717,6737,6741,6744],[17,6708,6710],{"id":6709},"the-evaluation-operating-system","The Evaluation Operating System",[22,6712,6713],{},"In high-stakes clinical environments, the gap between a generator and a verifier is often non-existent—if a verifier were good enough to trust, it would already be the generator. To solve this, Abridge treats evaluation as the company's primary operating system rather than an afterthought.",[22,6715,6716],{},"Instead of relying on a single \"correct\" answer, they use a rigorous, multi-layered rubric system:",[40,6718,6719,6725,6731],{},[43,6720,6721,6724],{},[46,6722,6723],{},"Rubric Creation:"," Two independent physicians draft elements of a high-quality response. A third physician adjudicates these into a single master rubric, and a fourth performs quality assurance.",[43,6726,6727,6730],{},[46,6728,6729],{},"Multi-Dimensional Judges:"," Rather than one judge, the system employs separate, expert-calibrated LLM judges for clinical quality, safety, adversarial boundaries, and tone.",[43,6732,6733,6736],{},[46,6734,6735],{},"Feedback Loops:"," By encoding clinician judgment into these judges, non-clinician engineers can iterate and \"hill climb\" on product performance with confidence that the system reflects actual medical standards.",[17,6738,6740],{"id":6739},"optimizing-for-scale-and-cost","Optimizing for Scale and Cost",[22,6742,6743],{},"Processing 100 million medical conversations annually requires balancing frontier-level intelligence with strict latency and cost constraints. Abridge avoids the \"frontier model for everything\" trap by decomposing complex tasks into granular workflows.",[40,6745,6746,6752,6758],{},[43,6747,6748,6751],{},[46,6749,6750],{},"Model Decomposition:"," Instead of using a single large model for an entire clinical note, the team post-trains smaller, specialized models for specific sections (e.g., History of Present Illness vs. Assessment and Plan). This reduces latency and compute costs while maintaining high quality.",[43,6753,6754,6757],{},[46,6755,6756],{},"Event-Driven Triggering:"," To handle tasks like in-visit order entry, the system uses a tiered architecture. Lightweight, fast models monitor the conversation for specific triggers; only when a relevant event is detected does the system hand off to larger, more expensive models to perform the heavy lifting of order matching and validation.",[43,6759,6760,6763],{},[46,6761,6762],{},"The Data Flywheel:"," Abridge bets that their proprietary, large-scale dataset of clinical conversations provides a \"right to win\" that generic frontier models cannot match. By focusing on narrow, high-value clinical problems, they aim to outpace the rate of improvement of general-purpose models.",{"title":70,"searchDepth":71,"depth":71,"links":6765},[6766,6767],{"id":6709,"depth":71,"text":6710},{"id":6739,"depth":71,"text":6740},[78],{"content_references":6770,"triage":6771},[],{"relevance":95,"novelty":96,"quality":95,"actionability":96,"composite":6772,"reasoning":6773},3.6,"Category: AI & LLMs. The article discusses a practical application of AI in healthcare, specifically how Abridge uses a multi-layered evaluation system to enhance clinical documentation and decision support. It provides insights into model decomposition and feedback loops, which are relevant to product builders in AI, though it lacks specific actionable steps for implementation.","\u002Fsummaries\u002F4646a0660665a8b0-engineering-clinical-intelligence-at-scale-summary","2026-08-19 14:00:06","2026-08-20 03:12:21",{"title":6699,"description":70},{"loc":6774},"4646a0660665a8b0","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=u6q-byPWUuo","summaries\u002F4646a0660665a8b0-engineering-clinical-intelligence-at-scale-summary",[111,112,113,6783],"evaluation","https:\u002F\u002Fi.ytimg.com\u002Fvi\u002Fu6q-byPWUuo\u002Fhqdefault.jpg","Abridge scales clinical documentation and decision support by treating evaluation as the core operating system, using human-calibrated LLM judges, and optimizing costs through task-specific model decomposition.","This talk outlines how Abridge scaled its clinical documentation tool to 300 health systems by focusing on the doctor-patient conversation as the primary source of truth. The speaker details their engineering approach to high-stakes evaluation—using multi-physician rubrics to score model outputs—and their strategy for managing costs by fine-tuning smaller, specialized models for specific sections of medical notes.",[112,113,6783],"2tDjJlzeePpx-fdDl9PkekNYyaWuYtdLtss6-0YCkAM",{"id":6790,"title":6791,"ai":6792,"body":6797,"categories":6860,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":6861,"navigation":99,"path":6865,"published_at":6866,"question":79,"scraped_at":6866,"seo":6867,"sitemap":6868,"source_id":6869,"source_name":6870,"source_type":6871,"source_url":6872,"stem":6873,"tags":6874,"thumbnail_url":79,"tldr":6876,"tweet":79,"unknown_tags":6877,"__hash__":6878},"summaries\u002Fsummaries\u002F54e884c74cdbcf28-athena-r1-an-ai-agent-for-iterative-biomedical-tre-summary.md","ATHENA-R1: An AI Agent for Iterative Biomedical Treatment Reasoning",{"provider":7,"model":8,"input_tokens":6793,"output_tokens":6794,"processing_time_ms":6795,"cost_usd":6796},6446,519,2763,0.00239,{"type":14,"value":6798,"toc":6855},[6799,6803,6806,6810,6813,6828,6832,6835],[17,6800,6802],{"id":6801},"reframing-treatment-reasoning-as-an-iterative-process","Reframing Treatment Reasoning as an Iterative Process",[22,6804,6805],{},"Treatment reasoning is inherently iterative, requiring the integration of disease context, comorbidities, and evolving biomedical knowledge. Traditional LLMs often struggle with this because they lack the ability to verify information against external, grounded sources. ATHENA-R1 addresses this by reframing treatment reasoning as a learnable process of iterative evidence gathering. The agent operates across a \"universe\" of 212 biomedical tools, allowing it to identify missing information, execute relevant tools, and synthesize evidence before reaching a conclusion.",[17,6807,6809],{"id":6808},"a-two-level-self-learning-framework","A Two-Level Self-Learning Framework",[22,6811,6812],{},"The authors trained ATHENA-R1 without human-annotated traces by employing a two-level self-learning framework:",[6814,6815,6816,6822],"ol",{},[43,6817,6818,6821],{},[46,6819,6820],{},"Multi-Agent Construction",": A system of agents generates the necessary tools, tasks, and reasoning trajectories to create a dataset for supervised fine-tuning.",[43,6823,6824,6827],{},[46,6825,6826],{},"Reinforcement Learning (RL)",": The model is further refined using RL with scientific feedback. The reward function specifically targets reasoning quality, including evidence gathering, grounded tool use, and logical non-redundancy.",[17,6829,6831],{"id":6830},"performance-and-clinical-validation","Performance and Clinical Validation",[22,6833,6834],{},"ATHENA-R1 demonstrates significant improvements over existing models across multiple benchmarks:",[40,6836,6837,6843,6849],{},[43,6838,6839,6842],{},[46,6840,6841],{},"Benchmark Performance",": It achieved 94.7% accuracy on open-ended drug reasoning and 82.9% on patient treatment cases, outperforming GPT-5 by 17.8 and 10.7 percentage points, respectively.",[43,6844,6845,6848],{},[46,6846,6847],{},"Expert Preference",": In blinded evaluations by experts from 28 rare disease organizations, ATHENA-R1 was preferred over reference models across all criteria.",[43,6850,6851,6854],{},[46,6852,6853],{},"Real-World Impact",": The agent generated adverse-event hypotheses that were tested against electronic health records from 5.4 million patients. These hypotheses reached adjusted odds ratios of 1.48–1.84, demonstrating the model's ability to produce clinically actionable insights.",{"title":70,"searchDepth":71,"depth":71,"links":6856},[6857,6858,6859],{"id":6801,"depth":71,"text":6802},{"id":6808,"depth":71,"text":6809},{"id":6830,"depth":71,"text":6831},[78],{"content_references":6862,"triage":6863},[],{"relevance":95,"novelty":95,"quality":95,"actionability":96,"composite":97,"reasoning":6864},"Category: AI & LLMs. The article discusses ATHENA-R1, an AI agent that enhances treatment reasoning in healthcare, which is relevant to AI engineering and product strategy. It presents new insights into how iterative processes can improve clinical outcomes, but lacks specific actionable steps for implementation in product development.","\u002Fsummaries\u002F54e884c74cdbcf28-athena-r1-an-ai-agent-for-iterative-biomedical-tre-summary","2026-06-30 12:57:17",{"title":6791,"description":70},{"loc":6865},"54e884c74cdbcf28","arXiv cs.AI","article","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.28692","summaries\u002F54e884c74cdbcf28-athena-r1-an-ai-agent-for-iterative-biomedical-tre-summary",[111,6875,112,113],"machine-learning","ATHENA-R1 is an AI agent that performs iterative treatment reasoning by dynamically querying a universe of 212 biomedical tools, outperforming GPT-5 by significant margins in clinical benchmarks.",[112,113],"iwPb_i07-GveV7xNGmrF3ZVg4Rp3K-VdQC0j26To0Q0",{"id":6880,"title":6881,"ai":6882,"body":6888,"categories":6924,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":6925,"navigation":99,"path":6929,"published_at":6930,"question":79,"scraped_at":6931,"seo":6932,"sitemap":6933,"source_id":6934,"source_name":6935,"source_type":6871,"source_url":6936,"stem":6937,"tags":6938,"thumbnail_url":79,"tldr":6939,"tweet":79,"unknown_tags":6940,"__hash__":6941},"summaries\u002Fsummaries\u002F55543ef036faeeae-agentic-ai-requires-embedded-compliance-and-adapti-summary.md","Agentic AI Requires Embedded Compliance and Adaptive Oversight",{"provider":7,"model":6883,"input_tokens":6884,"output_tokens":6885,"processing_time_ms":6886,"cost_usd":6887},"x-ai\u002Fgrok-4.1-fast",5905,1495,15603,0.001906,{"type":14,"value":6889,"toc":6918},[6890,6894,6897,6901,6904,6908,6911,6915],[17,6891,6893],{"id":6892},"agentic-ai-shifts-governance-from-tools-to-autonomous-actors","Agentic AI Shifts Governance from Tools to Autonomous Actors",[22,6895,6896],{},"Agentic AI differs from traditional systems by independently setting goals, making decisions, and executing actions, like a customer service agent that analyzes complaints, researches policies, coordinates departments, negotiates solutions, and authorizes refunds without humans. This autonomy delivers efficiency but exposes boards to uncharted compliance and risk territories. Traditional audits and workflows fail against AI taking thousands of daily actions across jurisdictions, demanding proactive adaptation to outpace regulatory lag.",[17,6898,6900],{"id":6899},"implement-embedded-compliance-to-prevent-violations","Implement Embedded Compliance to Prevent Violations",[22,6902,6903],{},"Build regulatory rules directly into AI design via real-time monitoring that flags violations pre-action, automated checks triggering human intervention, and full audit trails capturing every decision and rationale. Track regulatory updates from governments, associations, and intelligence providers to assess impacts swiftly, ensuring adaptability in uncertain environments. This prevents non-compliance in high-velocity operations where AI acts faster than human review, maintaining robust postures amid evolving rules.",[17,6905,6907],{"id":6906},"mitigate-emergent-risks-with-systemic-frameworks","Mitigate Emergent Risks with Systemic Frameworks",[22,6909,6910],{},"Agentic AI amplifies operational, reputational, financial, and emergent risks—unpredictable behaviors from AI-business-environment interactions—like cascading decisions rippling through supply chains and partners. Counter with real-time feedback, AI analytics for monitoring, rapid response teams, and adaptive governance spanning functions. Boards gain impact by understanding interconnections, setting AI principles defining values, risk tolerance, and boundaries, then overseeing full lifecycles: data governance, model development, testing, deployment, monitoring, and retirement.",[17,6912,6914],{"id":6913},"board-actions-for-effective-oversight","Board Actions for Effective Oversight",[22,6916,6917],{},"Elevate oversight with dedicated AI expertise via board composition, advisors, or education, enabling informed scrutiny of technical risks and rewards. Institute real-time feedback loops and escalation matrices for intervention. This dynamic approach, versus static models, positions boards to lead AI transformation, avoiding struggles with ungoverned systems. Act now on feedback systems to shape deployment trajectories proactively.",{"title":70,"searchDepth":71,"depth":71,"links":6919},[6920,6921,6922,6923],{"id":6892,"depth":71,"text":6893},{"id":6899,"depth":71,"text":6900},{"id":6906,"depth":71,"text":6907},{"id":6913,"depth":71,"text":6914},[],{"content_references":6926,"triage":6927},[],{"relevance":95,"novelty":96,"quality":95,"actionability":96,"composite":6772,"reasoning":6928},"Category: AI & LLMs. The article discusses the governance challenges posed by agentic AI, which directly relates to the audience's interest in AI integration and compliance. It provides insights into implementing embedded compliance and adaptive oversight, addressing specific pain points about managing AI risks, though it lacks detailed actionable steps for immediate implementation.","\u002Fsummaries\u002F55543ef036faeeae-agentic-ai-requires-embedded-compliance-and-adapti-summary","2025-07-17 13:19:05","2026-04-14 14:31:03",{"title":6881,"description":70},{"loc":6929},"55543ef036faeeae","__oneoff__","https:\u002F\u002Fwww.nacdonline.org\u002Fall-governance\u002Fgovernance-resources\u002Fdirectorship-magazine\u002Fonline-exclusives\u002F2025\u002Fq3-2025\u002Fautonomous-artificial-intelligence-oversight\u002F","summaries\u002F55543ef036faeeae-agentic-ai-requires-embedded-compliance-and-adapti-summary",[111,112],"Boards must shift to real-time embedded compliance, systemic risk monitoring, and lifecycle governance to handle autonomous agentic AI's compliance gaps and emergent risks before regulations catch up.",[112],"5K0TtDt_59AdhEEhLeOHkjHDjxrAm-NcA94MAZ-FkqM",{"id":6943,"title":6944,"ai":6945,"body":6950,"categories":6970,"created_at":79,"date_modified":79,"description":70,"extension":80,"faq":79,"featured":81,"kicker_label":79,"meta":6971,"navigation":99,"path":6977,"published_at":6978,"question":79,"scraped_at":6978,"seo":6979,"sitemap":6980,"source_id":6981,"source_name":6870,"source_type":6871,"source_url":6982,"stem":6983,"tags":6984,"thumbnail_url":79,"tldr":6986,"tweet":79,"unknown_tags":6987,"__hash__":6988},"summaries\u002Fsummaries\u002Faa4c399e9165f038-a-taxonomy-for-misunderstanding-in-ai-agent-system-summary.md","A Taxonomy for Misunderstanding in AI Agent Systems",{"provider":7,"model":8,"input_tokens":6946,"output_tokens":6947,"processing_time_ms":6948,"cost_usd":6949},4127,377,2645,0.00159725,{"type":14,"value":6951,"toc":6966},[6952,6956,6959,6963],[17,6953,6955],{"id":6954},"a-unified-framework-for-misunderstanding","A Unified Framework for Misunderstanding",[22,6957,6958],{},"This paper addresses the critical gap in AI safety and reliability by formalizing how misunderstandings occur, propagate, and are detected in agentic systems. By synthesizing research across pragmatics (the study of context-dependent meaning) and multi-agent systems, the authors move beyond simple 'hallucination' metrics to a more nuanced taxonomy of communicative failure. The framework categorizes misunderstandings into three distinct phases: generation (where the semantic or pragmatic intent is lost), amplification (where system feedback loops or context windows exacerbate the error), and detection (the mechanisms required to identify and correct the divergence).",[17,6960,6962],{"id":6961},"practical-application-for-ai-builders","Practical Application for AI Builders",[22,6964,6965],{},"The authors provide a coding manual and evidence matrix designed for immediate application in agent development. The taxonomy helps engineers move from reactive debugging to proactive architecture. By mapping specific failure modes—such as grounding failures, implicature errors, and context-drift—to their respective stages in the agentic pipeline, developers can implement targeted guardrails. The research suggests that most agentic misunderstandings are not merely 'model errors' but failures in the pragmatic alignment between the user's intent and the agent's internal state representation. The inclusion of a coding manual allows teams to audit their own agent interactions to determine if failures are rooted in linguistic ambiguity, lack of shared context, or flawed reasoning chains.",{"title":70,"searchDepth":71,"depth":71,"links":6967},[6968,6969],{"id":6954,"depth":71,"text":6955},{"id":6961,"depth":71,"text":6962},[78],{"content_references":6972,"triage":6973},[],{"relevance":6974,"novelty":95,"quality":95,"actionability":95,"composite":6975,"reasoning":6976},5,4.35,"Category: AI & LLMs. The article provides a detailed taxonomy for understanding and mitigating misunderstandings in AI agent systems, which directly addresses the audience's need for practical applications in AI development. It includes a coding manual and evidence matrix that can be immediately applied by developers to improve agent interactions.","\u002Fsummaries\u002Faa4c399e9165f038-a-taxonomy-for-misunderstanding-in-ai-agent-system-summary","2026-08-18 03:10:23",{"title":6944,"description":70},{"loc":6977},"aa4c399e9165f038","https:\u002F\u002Farxiv.org\u002Fabs\u002F2608.13604","summaries\u002Faa4c399e9165f038-a-taxonomy-for-misunderstanding-in-ai-agent-system-summary",[111,6985,112],"research","This paper provides a cross-disciplinary framework for identifying, measuring, and mitigating misunderstandings in AI agents by synthesizing research from pragmatics, linguistics, and multi-agent systems.",[112],"efBVyvjK8iebvsZ8qB4zXo8lq0uuj5xKfyWTq4croGk"]