Machine Learning for Earlier Diagnosis of Schizophrenia

Join Søren Dinesen Østergaard, a professor at Aarhus University, as he dives into the groundbreaking use of machine learning in predicting the onset of schizophrenia and bipolar disorder. He discusses the significant hurdles in early diagnosis and how timely interventions can improve outcomes. Østergaard also highlights the challenges of varying predictive model performance across hospitals and the need for dynamic, individualized approaches that integrate clinical data for better accuracy. It's a fascinating look at the future of mental health diagnosis!