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Precision Psychiatry (with Ronald Kessler, PhD)

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Manage episode 399528337 series 3448744
Conteúdo fornecido por NYU Langone Health Department of Psychiatry. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por NYU Langone Health Department of Psychiatry ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

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 Introduction
00:53 Dr. Kessler's Journey to Precision Psychiatry
02:45 The Importance of Data
04:14 Risk Factors and Treatment Optimization
10:42 Successes and Challenges
13:23 The Importance of Baseline Information
23:46 Machine Learning in Veterans Health
24:27 Determining Suicide Risk
25:35 Interventions and Cost-Effectiveness
26:16 Esketamine Trials and Response Prediction
27:07 Risk Models and Comparative Risk Models
27:15 Insomnia Treatment in Military Personnel
29:36 Cost-Benefit Analyses
35:45 AI in Medicine and Patient Response
42:21 Future of Precision Psychiatry
45:51 Closing Remarks

Visit our website for more insights on psychiatry.
Podcast producer: Jon Earle

  continue reading

25 episódios

Artwork
iconCompartilhar
 
Manage episode 399528337 series 3448744
Conteúdo fornecido por NYU Langone Health Department of Psychiatry. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por NYU Langone Health Department of Psychiatry ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

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 Introduction
00:53 Dr. Kessler's Journey to Precision Psychiatry
02:45 The Importance of Data
04:14 Risk Factors and Treatment Optimization
10:42 Successes and Challenges
13:23 The Importance of Baseline Information
23:46 Machine Learning in Veterans Health
24:27 Determining Suicide Risk
25:35 Interventions and Cost-Effectiveness
26:16 Esketamine Trials and Response Prediction
27:07 Risk Models and Comparative Risk Models
27:15 Insomnia Treatment in Military Personnel
29:36 Cost-Benefit Analyses
35:45 AI in Medicine and Patient Response
42:21 Future of Precision Psychiatry
45:51 Closing Remarks

Visit our website for more insights on psychiatry.
Podcast producer: Jon Earle

  continue reading

25 episódios

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