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OCD Clinical AI Reached AUROC 0.653 but Failed Site Generalization

MHD featured image for OCD clinical AI and ENIGMA fMRI generalization.

A 2026 ENIGMA-OCD preprint tested a transformer model on resting-state fMRI from 1,706 participants and reached AUROC = 0.653 ± 0.039 for OCD classification.1 The more important result was the failure mode: held-out-site performance ranged from AUROC 0.427 to 0.819, which is exactly the gap clinical AI has to close before brain-scan diagnosis is credible. …

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Machine Learning Predicts Clozapine Initiation in Schizophrenia

Photoreal illustration of an electronic health record dashboard with clinical text and a model output highlighted, representing ML prediction in psychiatry.

Clozapine is the only medication with proven efficacy for treatment-resistant schizophrenia, yet most eligible patients wait years before starting it. A 2026 paper by Perfalk and colleagues trains a machine-learning model on routine electronic health record data to flag candidates earlier.1 Research Highlights Clozapine is the only evidence-based treatment for treatment-resistant schizophrenia (TRS), but the …

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