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

Generative Language Models Including ChatGPT (708) Quality/Credibility of eHealth Information and Trust Issues (654) Natural Language Processing (917) mHealth for Telemedicine and Homecare (531) Chatbots and Conversational Agents (740) Health Services Research (557) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Autism Spectrum Disorder (ASD) (141)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54706, first published .
Physician Versus Large Language Model Chatbot Responses to Web-Based Questions From Autistic Patients in Chinese: Cross-Sectional Comparative Analysis

Physician Versus Large Language Model Chatbot Responses to Web-Based Questions From Autistic Patients in Chinese: Cross-Sectional Comparative Analysis

Physician Versus Large Language Model Chatbot Responses to Web-Based Questions From Autistic Patients in Chinese: Cross-Sectional Comparative Analysis

Authors of this article:

Wenjie He1, 2 Author Orcid Image ;   Wenyan Zhang3 Author Orcid Image ;   Ya Jin4 Author Orcid Image ;   Qiang Zhou2 Author Orcid Image ;   Huadan Zhang2 Author Orcid Image ;   Qing Xia1 Author Orcid Image
Article Authors Cited by (25) Tweetations (2) Metrics

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  19. Zorlu Ö, Günal U, Yazici S. The quality, accuracy, and readability of information about hidradenitis suppurativa provided by artificial intelligence: Comparative analysis of ChatGPT, Copilot, and Perplexity. Medicine 2025;104(39):e44728 View
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