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

Artificial Intelligence (4661) Clinical Information and Decision Making (3634) Digital Health, Telehealth and e-Innovation in Clinical Settings (709) Tools, Programs and Algorithms (577) mHealth in a Clinical Setting (1120) Decision Support for Health Professionals (2183) Ontologies, Classifications, and Coding (429) Machine Learning (3117) Chatbots and Conversational Agents (1154) mHealth for Diagnosis (151)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/100442, first published .
Man with hand on temple, experiencing headache pain

Conversational Large Language Models for Vestibular Diagnosis in Outpatient Clinics: Prospective Multicenter Diagnostic Accuracy Study

Conversational Large Language Models for Vestibular Diagnosis in Outpatient Clinics: Prospective Multicenter Diagnostic Accuracy Study

Authors of this article:

Chongkai Lu1 Author Orcid Image ;   Ruiqi Zhang1 Author Orcid Image ;   Huaili Jiang2 Author Orcid Image ;   Yanping Yu3 Author Orcid Image ;   Sulin Zhang4 Author Orcid Image ;   Qin Lin5 Author Orcid Image ;   Peixia Wu1 Author Orcid Image ;   Huawei Li1 Author Orcid Image
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