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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82756, first published .
Doctor uses holographic display for AI-assisted diagnosis and patient visualization.

GenAI-Supported Virtual Patients in Health Care Education: Systematic Review

GenAI-Supported Virtual Patients in Health Care Education: Systematic Review

Journals

  1. Töpfer J, Fritsch S, Wollny A, Romeike B, Endlicher D, Schrötter S, Schmitz S, Ciężka A. Pilot of a blended learning model on medical students’ communication skills in the context of digital innovations. BMC Medical Education 2026;26(1) View
  2. Xie W, Xiang C, Wu F, Chen X. Multimodal generative AI for pre-practicum mental health support competency development: a human-supervised framework for education–childcare partnerships. Frontiers in Psychiatry 2026;17 View
  3. He Y, Chen C, Yin R, Zhang W, Chang H, Yang W, Li F, Li X, Xia Z, Xie X, Huang J, Zeng Q, Yang G, Wu J. Effect of Large Language Model–Powered Virtual Standardized Patients on History-Taking Among Undergraduate Medical Students: Propensity-Matched Cohort Study. JMIR Medical Education 2026;12:e92486 View
  4. Zhu Y, Xie D, Liang R, Yang J, Du X, Zhou C. Elucidating the transformative role of large language models in advancing anesthesiology education. Journal of International Medical Research 2026;54(9) View
  5. Kotwal S, Omron R, Edlow J, Bhandari A. Technology-Based Vestibular Education. Neurologic Clinics 2026 View