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

Formative Evaluation of Digital Health Interventions (3230) Generative Language Models Including ChatGPT (708) Chatbots and Conversational Agents (740) Artificial Intelligence (2131)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66503, first published .
Performance Assessment of ChatGPT-4.0 and ChatGLM Series in Traditional Chinese Medicine for Metabolic Associated Fatty Liver Disease: Comparative Study

Performance Assessment of ChatGPT-4.0 and ChatGLM Series in Traditional Chinese Medicine for Metabolic Associated Fatty Liver Disease: Comparative Study

Performance Assessment of ChatGPT-4.0 and ChatGLM Series in Traditional Chinese Medicine for Metabolic Associated Fatty Liver Disease: Comparative Study

Authors of this article:

Xionghui Wang1, 2 Author Orcid Image ;   Tianxiao Zheng2, 3 Author Orcid Image ;   Bo Liu4 Author Orcid Image ;   Zhi Pei2, 3 Author Orcid Image ;   Kaihan Meng2, 5 Author Orcid Image ;   Changquan Ling2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Xionghui Wang   1, 2 * , MD ;   Tianxiao Zheng   2, 3 * , MD ;   Bo Liu   4 * , MM ;   Zhi Pei   2, 3 , MD ;   Kaihan Meng   2, 5 , MD ;   Changquan Ling   2, 3 , MD

1 Department of Gastroenterology, No. 967 Hospital of PLA Joint Logistics Support Force, Dalian, China

2 School of Traditional Chinese Medicine, Naval Medical University, Shanghai, China

3 Department of Traditional Chinese Medicine, First Affiliated Hospital, Naval Medical University, Shanghai, China

4 Medical Administration Office, No. 967 Hospital of PLA Joint Logistics Support Force, Dalian, China

5 Department of Traditional Chinese Medicine, Second Affiliated Hospital, Naval Medical University, Shanghai, China

*these authors contributed equally

Corresponding Author:

  • Changquan Ling, MD
  • School of Traditional Chinese Medicine, Naval Medical University
  • No. 800, Xiangyin Road, Yangpu District
  • Shanghai 200433
  • China
  • Phone: 86 02181871561
  • Email: changquanling@smmu.edu.cn