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

Generative Language Models Including ChatGPT (842) Innovations in Clinical Trials and Research Data Management (143) Digital Health Meta-Research and Bibliographic Studies (76) AI Language Models in Health Care (267) Applications of AI (358)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72412, first published .
Using Large Language Models to Assess the Consistency of Randomized Controlled Trials on AI Interventions With CONSORT-AI: Cross-Sectional Survey

Using Large Language Models to Assess the Consistency of Randomized Controlled Trials on AI Interventions With CONSORT-AI: Cross-Sectional Survey

Using Large Language Models to Assess the Consistency of Randomized Controlled Trials on AI Interventions With CONSORT-AI: Cross-Sectional Survey

Authors of this article:

Xufei Luo1, 2, 3, 4, 5 Author Orcid Image ;   Zeming Li6 Author Orcid Image ;   Zhenhua Yang7 Author Orcid Image ;   Bingyi Wang1, 2, 3, 4, 5 Author Orcid Image ;   Yanfang Ma7, 8 Author Orcid Image ;   Fengxian Chen9 Author Orcid Image ;   Qi Wang10, 11 Author Orcid Image ;   Long Ge12 Author Orcid Image ;   James Zou13, 14, 15 Author Orcid Image ;   Lu Zhang6 Author Orcid Image ;   Yaolong Chen1, 2, 3, 4, 5 Author Orcid Image ;   Zhaoxiang Bian7, 8 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Kuang J, Pope A, Zhang Y. Psychotherapists’ Trust, Distrust, and Generative AI Practices in Psychotherapy: Qualitative Study. Journal of Medical Internet Research 2026;28:e88932 View