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Reviews in AI (180) Digital Health Reviews (3635) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3180) Natural Language Processing (1265) Decision Support for Health Professionals (2207) Methods and New Tools in Mental Health Research (900) Ontologies, Classifications, and Coding (434) Innovations in Mental Health Systems (662) Machine Learning (3128)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88082, first published .
Therapist listening to a man in a session, discussing mental health and well-being.

Large Language Models for Mental Health Prediction: Scoping Review of Bias and Clinical Utility Documentation in 2019-2024

Large Language Models for Mental Health Prediction: Scoping Review of Bias and Clinical Utility Documentation in 2019-2024

Authors of this article:

Clémentine Bleuze1 Author Orcid Image ;   Karën Fort1 Author Orcid Image ;   Vincent P Martin1 Author Orcid Image ;   Aurélie Névéol2 Author Orcid Image
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Clémentine Bleuze   1 , MSc ;   Karën Fort   1 , PhD ;   Vincent P Martin   1 , PhD ;   Aurélie Névéol   2 , PhD

1 Loria, Université de Lorraine, CNRS, Inria, Nancy, France

2 LISN, Université Paris-Saclay, CNRS, Orsay, France

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