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This paper is in the following e-collection/theme issue:

Reviews in AI (223) Clinical Informatics (2441) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3421) Clinical Information and Decision Making (3968) mHealth in a Clinical Setting (1244) Decision Support for Health Professionals (2405) Innovations in Mental Health Systems (688) Anxiety and Stress Disorders (1673) Machine Learning (3392)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87730, first published .
Doctor typing on laptop, symbolizing healthcare technology and patient care

Generative Large Language Models in Mental Health Care Settings: Systematic Review and Meta-Analysis

Generative Large Language Models in Mental Health Care Settings: Systematic Review and Meta-Analysis

Authors of this article:

Janni Leung1 Author Orcid Image ;   Benjamin Johnson1 Author Orcid Image ;   Kelsey McRae1 Author Orcid Image ;   Stephanie Fong1 Author Orcid Image ;   Paula Cardona Gonzalez1 Author Orcid Image ;   Caitlin McClure-Thomas1 Author Orcid Image ;   Tianze Sun1 Author Orcid Image ;   Naomi Kern1 Author Orcid Image ;   Yuen Ming Wong1 Author Orcid Image ;   Richard Liu1 Author Orcid Image ;   Gary Chung Kai Chan1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Zhang Sr B. Same Name, Moving Target: Model Version Drift in Syntheses of Large Language Models for Mental Health. JMIR AI 2026;5:e111307 View
  2. Shen Z, Shi S, Mao L, Li C, Xie J. Mapping Technologies, Support Functions, Evaluation Outcomes, and Safety Governance Related to Conversational AI Agents for Psychological Support of Patients With Cancer: Scoping Review. Journal of Medical Internet Research 2026;28:e105599 View
  3. Johnson B, Leung J, Chan G. Authors’ Reply: Same Name, Moving Target: Model Version Drift in Syntheses of Large Language Models for Mental Health. JMIR AI 2026;5:e112028 View