Researchers developed a machine-learning tool that accurately identifies individuals at high risk of psychosis through MRI brain scans. This innovative approach, which achieved an 85% accuracy rate in training and 73% using new data, offers a promising avenue for early intervention in psychosis, potentially improving treatment outcomes.
Researchers developed a machine-learning tool that accurately identifies individuals at high risk of psychosis through MRI brain scans. This innovative approach, which achieved an 85% accuracy rate in training and 73% using new data, offers a promising avenue for early intervention in psychosis, potentially improving treatment outcomes.
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