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

Innovations in Mental Health Systems (506) Clinical Information and Decision Making (2038) Decision Support for Health Professionals (1613) Generative Language Models Including ChatGPT (777) Computer-Aided Diagnosis (274) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2237)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80801, first published .
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

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 (2) Tweetations Metrics

Journals

  1. Lokadjaja M, Kho J, Schulz P, Goh W. Large Language Models and their Applications in Mental Health: A Scoping Review (Preprint). JMIR Mental Health 2025 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