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

New Resources for Medical Education (209) e-Learning and Digital Medical Education (1617) Occupational Health and Ergonomics/Prevention at the Workplace (394) Artificial Intelligence (4897) Generative Language Models Including ChatGPT (1578)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/103584, first published .
Doctors collaborating on a tablet, discussing patient care.

Generative AI–Assisted Progressive-Disclosure Case-Based Learning for Clinical Reasoning in Occupational Medicine: Quasi-Experimental Study

Generative AI–Assisted Progressive-Disclosure Case-Based Learning for Clinical Reasoning in Occupational Medicine: Quasi-Experimental Study

Authors of this article:

Peng Su1 Author Orcid Image ;   Min Hu2 Author Orcid Image ;   Chengzhi Chen1 Author Orcid Image ;   Shangcheng Xu1 Author Orcid Image
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Peng Su   1 * , MD, PhD, Prof Dr ;   Min Hu   2 * , PhD ;   Chengzhi Chen   1 , PhD ;   Shangcheng Xu   1 , PhD

1 Department of Occupational and Environmental Health, School of Public Health, Chongqing Medical University, Chongqing, Chongqing, China

2 School of Business, Chongqing College of Finance and Economics, Chongqing, Chongqing, China

*these authors contributed equally

Corresponding Author:

  • Peng Su, MD, PhD, Prof Dr
  • Department of Occupational and Environmental Health
  • School of Public Health
  • Chongqing Medical University
  • No.1, Yixueyuan Road, Yuzhong District
  • Chongqing, Chongqing 400016
  • China
  • Phone: 86 13274909310
  • Fax: 86 02368485207
  • Email: 103335@cqmu.edu.cn