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

Chatbots and Conversational Agents (1241) Clinical Information and Decision Making (3898) Decision Support for Health Professionals (2352) Back Pain (174) Generative Language Models Including ChatGPT (1644) AI Language Models in Health Care (837)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92315, first published .
Woman with back pain at office desk, laptop and coffee

Performance of DeepSeek V3.2 and ChatGPT 5.1 in Musculoskeletal Triage and Differential Diagnosis of Outpatients With Low Back Pain: Multidimensional Comparative Study

Performance of DeepSeek V3.2 and ChatGPT 5.1 in Musculoskeletal Triage and Differential Diagnosis of Outpatients With Low Back Pain: Multidimensional Comparative Study

Authors of this article:

Ziqian Ma1 Author Orcid Image ;   Ruiyuan Chen1 Author Orcid Image ;   Aobo Wang1 Author Orcid Image ;   Yu Xi1 Author Orcid Image ;   Minghui Liang1 Author Orcid Image ;   Shuo Yuan1 Author Orcid Image ;   Ning Fan1 Author Orcid Image ;   Jianwei Zang2 Author Orcid Image ;   Tianyi Wang1 Author Orcid Image ;   Lei Zang1 Author Orcid Image
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Journals

  1. Roberts L. Automating the triage of rheumatology outpatient referrals: a comparative evaluation of 23 large language models under simple and advanced prompting. Rheumatology International 2026;46(10) View