What if a simple conversation in the emergency room could reveal who’s most at risk for PTSD before symptoms even begin? On this episode, Katharina Schultebraucks, PhD, shares her innovative work on using machine learning to forecast trauma-related mental health outcomes. From predicting PTSD based on a patient’s response to a single question, to identifying early biomarkers of burnout in healthcare workers, Dr. Schultebraucks 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 Grossmann School of Medicine. ⸻ 🔍 Topics Covered 00:25 Meet Dr. Katharina Schultebraucks 02:19 Objective vs Subjective Measures in Psychiatry 03:46 Predicting PTSD Risk with Machine Learning 05:19 Implementing Early Preventive Interventions 06:33 Combining Biological and Psychological Risk Factors 10:48 Challenges ...