Dr. Ronald Kessler is the McNeil Family Professor of Health Care Policy at Harvard Medical School. His groundbreaking work on the social determinants of mental health, studied from an epidemiological perspective, has made him the most widely cited psychiatric researcher in the world.  In this wide-ranging conversation, he talks about precision psychiatry's enormous potential and incremental development, delving into his own efforts to better identify at-risk patients and predict treatment efficacy. Dr. Kessler stresses the need for better data and bigger studies, and envisions a future of AI-supported clinicians.00:00 Introduction00:53 Dr. Kessler's Journey to Precision Psychiatry02:45 The Importance of Data04:14 Risk Factors and Treatment Optimization10:42 Successes and Challenges13:23 The Importance of Baseline Information23:46 Machine Learning in Veterans Health24:27 Determining Suicide Risk25:35 Interventions and Cost-Effectiveness26:16 Esketamine Trials and Response Prediction27:07 Risk Models and Comparative Risk Models27:15 Insomnia Treatment in Military Personnel29:36 Cost-Benefit Analyses35:45 AI in Medicine and Patient Response42:21 Future of Precision Psychiatry45:51 Closing RemarksVisit our website for more Insights on Psychiatry.Watch this episode on YouTubeExecutive Producer: Jon Earle

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