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

Reviews in Digital Mental Health (289) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Generative Language Models Including ChatGPT (708) Transdiagnostic Mental Health Interventions (207) Innovations in Mental Health Systems (484) Artificial Intelligence (2129)

Published on in Vol 12 (2025)

This is a member publication of Florida State University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70014, first published .
Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations

Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations

Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations

Authors of this article:

Liying Wang1, 2 Author Orcid Image ;   Tanmay Bhanushali3 Author Orcid Image ;   Zhuoran Huang4 Author Orcid Image ;   Jingyi Yang5 Author Orcid Image ;   Sukriti Badami3 Author Orcid Image ;   Lisa Hightow-Weidman1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Zheng H, Zhang X. Psychiatry in the age of AI: transforming theory, practice, and medical education. Frontiers in Public Health 2025;13 View
  2. Lupton D. Towards a digital planetary health perspective: generative AI and the digital determinants of health. Health Promotion International 2025;40(5) View
  3. Szoke D, Pridgen S, Held P. Artificial Intelligence in Mental Health Services Under Illinois Public Act 104‐0054: Legal Boundaries and a Framework for Establishing Safe, Effective AI Tools. JMIR Mental Health 2025;12:e84854 View