Accessibility settings

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

Virtual Patients (156) e-Learning and Digital Medical Education (1698) Electronic Health Records (1819) mHealth in Medical Education and Training (233) Machine Learning (3404)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89367, first published .
Asian female doctor in white coat with stethoscope at computer

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 (3) Tweetations Metrics

Journals

  1. Liu Y, Zhu Y, Shi C, Lu X, Wu L, Yue M, Hong X, Xia O, Zhang W. User Acceptance of an AI-Powered Medical History–Taking Training System Among Undergraduate Medical Students: Mixed Methods Study. JMIR Medical Education 2026;12:e101425 View
  2. Fang E, Boon Y, Ho J, Tey N, Low M. Artificial intelligence generated virtual patients in health professions education: a scoping review. BMC Medical Education 2026;26(1) View
  3. Zhang W, Liu Y, Zhu Y, Lu X, Wu L, Yue M, Hong X, Xia O, Shi C. Association of Preexamination AI Virtual-Patient Trainer Scores With Scores on a Local Single-Station History-Taking Objective Structured Clinical Examination: Observational Cohort Study. JMIR Medical Education 2026;12:e109752 View