Machine-learning tool identifies high-risk psychosis individuals from MRI scans

Researchers developed a machine-learning tool that accurately identifies individuals at high risk of psychosis through MRI brain scans, achieving an 85% accuracy rate in training and 73% using new data. The study involved over 2,000 participants from 21 global locations, highlighting the tool’s potential in diverse clinical settings. This innovative approach offers a promising avenue for early intervention in psychosis, potentially improving treatment outcomes.