AI can improve mental health questionnaires by detecting overlaps and redundancies

Large language models can help improve questionnaires used to diagnose mental illness by optimizing symptom generalizability and reducing redundancy. They can even contribute to new conceptualizations of mental disorders. That is the result of an international study led by Professor Dr. Joseph Kambeitz and Professor Dr. Kai Vogeley from the University of Cologne’s Faculty of Medicine and University Hospital Cologne.

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