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

Reviews in Medical Informatics (469) Clinical Informatics (2197) Reviews in Medical Education (288) Machine Learning (3107)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79039, first published .
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Large Language Model–Based Virtual Patient Systems for History-Taking in Medical Education: Comprehensive Systematic Review

Large Language Model–Based Virtual Patient Systems for History-Taking in Medical Education: Comprehensive Systematic Review

Authors of this article:

Dongliang Li1 Author Orcid Image ;   Syaheerah Lebai Lutfi2 Author Orcid Image
Article Authors Cited by (10) Tweetations Metrics

Journals

  1. Li S, Wang X, Chen Y, Tian M, Lin P, Lai M, Jiang L. Large language models for primary care ophthalmic education: a systematic review. Frontiers in Medicine 2026;13 View
  2. Glinkowski W, Jacennik B, Jankowska A, Cedro T, Wilk S, Doniec R. AI-Assisted Training for Teleconsultation Competencies in Undergraduate Medical Education: A Narrative Review. Applied Sciences 2026;16(10):4858 View
  3. Qu Y, Xu X, Long Y, Wang Y, Li J, Lu X. A Large Language Model–Powered Multiagent Framework Emulating Standardized Patients in Clinical Communication Skills Training: Development and Evaluation Study. Journal of Medical Internet Research 2026;28:e84747 View
  4. Zhang Y, Zhou H, Huo H, Yue Y, Wang J, Zhu J. AI-based virtual patient training for clinical communication skills in dental undergraduates: A randomized controlled mixed methods study. Medical Teacher 2026:1 View
  5. Haut K, Hasan M, Carroll T, Epstein R, Sen T, Hoque E. The Effects of Generative AI Virtual Patient in Serious Illness Communication Skills: Randomized Controlled Trial (Preprint). JMIR Medical Education 2026 View
  6. Sindhvananda K, Ruengwattanachot K, Leksuwankun S, Pongpitakmetha T, Hiransuthikul A, Surawattanawong T, Anukoolwittaya P, Panjasriprakarn P. AI-powered simulated patients with automated feedback for enhancing headache history-taking skills: a convergent mixed-methods study. BMC Medical Education 2026;26(1) View
  7. Choi I, Kim J, Kim J, Lee H, Park W, Kim C, Lim D. A Curriculum-Embedded Two-Session AI Chatbot-Based History-Taking Practicum in Korean Medicine Diagnostics. Applied Sciences 2026;16(14):7223 View
  8. Ye Y, Tao H, Huang S, Zou M, Chen Y, Shen P, Hao M, Liu C. Virtual patients in medical education: a bibliometric analysis based on the wos core collection and scopus databases. Frontiers in Medicine 2026;13 View

Conference Proceedings

  1. Gao Z, Zhu G, Luo H, Primo Pan D, Tang H, Zhang B, Pei J, Li J, Wang B. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. "It Talks Like a Patient, But Feels Different": Co-Designing AI Standardized Patients with Medical Learners View
  2. Rick S, Bedmutha M, Arriaga R, De Choudhury M, Goldberg C, Ismail A, Kumar N, Kwon H, Pratt W, Singh A, Wong A, Xu X, Weibel N. Proceedings of the 2026 ACM Interactive Health Conference. GenAI and Synthetic Data in Healthcare: Exploring the Design and Use of AI-Generated Data for Interactive Health Systems View