What if a simple conversation in the emergency room could reveal who’s most at risk for PTSD before symptoms even begin? Katharina Schultebraucks, PhD, shares her innovative work on using machine learning to forecast mental health outcomes and explains how AI could revolutionize how we detect, prevent, and treat psychiatric disorders. Dr. Schultebraucks is Co-Director of the Computational Psychiatry Program and Associate Professor in the Department of Psychiatry and Population Health at NYU Grossman School of Medicine.🔍 Topics Covered00:00 Introduction00:23 Current Work and Research Focus01:29 Objective Measures in Psychiatry02:50 Predicting PTSD Risk04:28 Early Preventive Interventions05:47 Machine Learning in Mental Health09:49 Challenges and Surprises in Research22:46 Burnout in Emergency Department Providers27:17 Precision Psychiatry and Future Directions29:35 Conclusion📚 Related Resources-Katharina Schultebraucks, PhD -Computational Psychiatry Program in NYU Langone’s Department of Psychiatry -“Dissecting racial bias in an algorithm used to manage the health of populations” by Ziad Obermeyer, et al -PTSD Treatment at NYU Langone Health 🔔 Subscribe for more conversations at the intersection of mental health and innovation.📢 Like, comment, and share if this episode sparked your thinking.Visit our website for more Insights on Psychiatry.Watch this episode on YouTubeExecutive Producer: Jon Earle

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