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

Innovations in Mental Health Systems (660) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3151) Clinical Information and Decision Making (3632) Decision Support for Health Professionals (2183) Computer-Aided Diagnosis (415) Generative Language Models Including ChatGPT (1467)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80801, first published .
Doctor in face mask comforting patient in clinic

Comparing Generative Artificial Intelligence and Mental Health Professionals for Clinical Decision-Making With Trauma-Exposed Populations: Vignette-Based Experimental Study

Comparing Generative Artificial Intelligence and Mental Health Professionals for Clinical Decision-Making With Trauma-Exposed Populations: Vignette-Based Experimental Study

Authors of this article:

Katherine E Wislocki1 Author Orcid Image ;   Sabahat Sami1 Author Orcid Image ;   Gahl Liberzon1 Author Orcid Image ;   Alyson K Zalta1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Lokadjaja M, Kho J, Schulz P, Goh W. Large Language Models and Their Applications in Mental Health: Scoping Review. JMIR Mental Health 2026;13:e88057 View
  2. İnan M, Aypak C. Algorithmic somatization vs. psychologization: A randomized vignette study of socioeconomic bias in large language model-based psychiatric triage. Asian Journal of Psychiatry 2026;119:104929 View
  3. Radulescu C, Radulescu M, Mihailescu A. A Multicriteria Framework for Evaluation and Selection of Conversational AI Assistants in Mental Health. Future Internet 2026;18(4):191 View
  4. Mokhtar D, Wang H, Garland E, Shakya D, Occhino-Moede L, Liu X, Frank A. Perspectives of Individuals With Obsessive-Compulsive Disorder on the Role of Artificial Intelligence in Therapy and Treatment: Thematic Qualitative Study. Journal of Participatory Medicine 2026;18:e98822 View