Accessibility settings

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

Ontologies, Classifications, and Coding (453) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3259) Artificial Intelligence (4860) Generative Language Models Including ChatGPT (1559)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77699, first published .
Doctor in white coat on video call with laptop, discussing telemedicine

Large Language Models for Psychiatric Diagnosis Based on Multicenter Real-World Clinical Records: Comparative Study

Large Language Models for Psychiatric Diagnosis Based on Multicenter Real-World Clinical Records: Comparative Study

Authors of this article:

Maoqian Sun1, 2 Author Orcid Image ;   Jia Yu3 Author Orcid Image ;   Zhuhong Long2 Author Orcid Image ;   Yun Yang2 Author Orcid Image ;   Tao Xiao4 Author Orcid Image ;   Jiaquan Liang5 Author Orcid Image ;   Jun Feng6 Author Orcid Image ;   Huaili Deng7 Author Orcid Image ;   Guoping Huang2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Sarma K, Hanss K, Halls A, Becker D, Glowinski A, Krystal A. Simulated Reasoning and Self-Verification for Psychiatric Diagnosis in Generalist Large Language Models: Comparative Evaluation. JMIR AI 2026;5:e83927 View
  2. Leung J, Johnson B, McRae K, Fong S, Gonzalez P, McClure-Thomas C, Sun T, Kern N, Wong Y, Liu R, Chan G. Generative Large Language Models in Mental Health Care Settings: Systematic Review and Meta-Analysis. JMIR AI 2026;5:e87730 View