Machine-learning tool identifies high-risk psychosis individuals from MRI scans
Neuroscience News — February 10, 2024, 12:00 AM UTC
Summary: 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.
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I'm replacing the original 8-factor scoring system with a new and improved one. It doesn't use the original factors and gives much better significance scores.