"Machine Learning Predicts Onset of Psychosis from Brain Scans"

Researchers have developed a machine-learning tool that uses MRI brain scans to accurately identify individuals at high risk of psychosis, achieving an 85% accuracy rate in training and 73% using new data. This innovative approach offers a promising avenue for early intervention in psychosis, potentially improving treatment outcomes. The study involved over 2,000 participants from 21 global locations, highlighting the tool’s potential in diverse clinical settings. By detecting structural brain differences before the onset of psychosis, this tool marks a significant advancement in psychiatric care, aiming for better prediction and prevention strategies.