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

Virtual Patients (82) e-Learning and Digital Medical Education (936) mHealth in Medical Education and Training (130) Electronic Health Records (1360) Machine Learning (2192)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89367, first published .
Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study

Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study

Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study

Authors of this article:

Yang Liu1 Author Orcid Image ;   Yiying Zhu1 Author Orcid Image ;   Weishan Zhang1 Author Orcid Image ;   Xian Lu2 Author Orcid Image ;   Liping Wu1 Author Orcid Image ;   Minghui Yue1 Author Orcid Image ;   Oudong Xia3 Author Orcid Image ;   Chujun Shi1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yang Liu   1 * , MM ;   Yiying Zhu   1 * , MSc ;   Weishan Zhang   1 * , MSc ;   Xian Lu   2 , BSc ;   Liping Wu   1 , Prof Dr ;   Minghui Yue   1 , MPH ;   Oudong Xia   3 * , Prof Dr Med, MD ;   Chujun Shi   1 * , Prof Dr

1 Medical Simulation Center, Shantou University Medical College, Shantou, Guangdong, China

2 Department of Medical Physics and Informatics, Shantou University Medical College, Shantou, Guangdong, China

3 Shantou University Medical College, Shantou, Guangdong, China

*these authors contributed equally

Corresponding Author:

  • Chujun Shi, Prof Dr
  • Medical Simulation Center
  • Shantou University Medical College
  • No. 22 Xinling Road
  • Shantou, Guangdong 515041
  • China
  • Phone: 86 754-88900459
  • Email: cjshi@stu.edu.cn