Article

Toward trustworthy clinical AI for obsessive-compulsive disorder: reliability, generalizability, and interpretability of a transformer model across the ENIGMA-OCD consortium

2026-04-27

Abstract excerpt

<h4>Background: </h4> Studies applying machine learning to obsessive-compulsive disorder (OCD) typically report accuracy in homogeneous samples but rarely assess model reliability, generalizability, and interpretability needed for clinical use. Methods. We applied a transformer-based deep learning model, the Multi-Band Brain Net, to the ENIGMA-OCD cohort - the largest available resting-state functional magnetic r...

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Literature Corpus work: dec57b93-910b-506c-a8bf-3a768eaa3549
DOI: 10.64898/2026.04.24.26351711

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