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

New Methods and Approaches in Medical Education (310) Artificial Intelligence (AI) in Medical Education (122) e-Learning and Digital Medical Education (788) Chatbots and Conversational Agents (626) Artificial Intelligence (1720) Theme Issue: ChatGPT and Generative Language Models in Medical Education (101) Generative Language Models Including ChatGPT (489)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59213, first published .
A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study

A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study

A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study

Authors of this article:

Friederike Holderried1 Author Orcid Image ;   Christian Stegemann-Philipps1 Author Orcid Image ;   Anne Herrmann-Werner1 Author Orcid Image ;   Teresa Festl-Wietek1 Author Orcid Image ;   Martin Holderried2 Author Orcid Image ;   Carsten Eickhoff3 Author Orcid Image ;   Moritz Mahling1, 2 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Brügge E, Ricchizzi S, Arenbeck M, Keller M, Schur L, Stummer W, Holling M, Lu M, Darici D. Large language models improve clinical decision making of medical students through patient simulation and structured feedback: a randomized controlled trial. BMC Medical Education 2024;24(1) View
  2. Çiçek F, Ülker M, Özer M, Kıyak Y. ChatGPT versus expert feedback on clinical reasoning questions and their effect on learning: a randomized controlled trial. Postgraduate Medical Journal 2025;101(1195):458 View
  3. Jiang Y, Fu X, Wang J, Liu Q, Wang X, Liu P, Fu R, Shi J, Wu Y. Enhancing medical education with chatbots: a randomized controlled trial on standardized patients for colorectal cancer. BMC Medical Education 2024;24(1) View
  4. Masters K, MacNeil H, Benjamin J, Carver T, Nemethy K, Valanci-Aroesty S, Taylor D, Thoma B, Thesen T. Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178. Medical Teacher 2025:1 View
  5. Yi Y, Kim K. The feasibility of using generative artificial intelligence for history taking in virtual patients. BMC Research Notes 2025;18(1) View
  6. Yuan Y, He J, Wang F, Li Y, Guan C, Jiang C. AI agent as a simulated patient for history-taking training in clinical clerkship: an example in stomatology. Global Medical Education 2025 View
  7. Patil N, Kou N, Baptista‐Hon D, Monteiro O. Artificial Intelligence in Medical Education: A Practical Guide for Educators. MedComm – Future Medicine 2025;4(2) View
  8. Lo N, Wong A, Chan S. The Impact of Generative AI on Essay Revisions and Student Engagement. Computers and Education Open 2025:100249 View
  9. Kim K. Technology-enhanced learning in medical education in the age of artificial intelligence. Forum for Education Studies 2025;3(2):2730 View
  10. Eoh K. Prospects and applications of artificial intelligence and large language models in obstetrics and gynecology education: a narrative review. Journal of the Korean Medical Association 2025;68(3):161 View
  11. Yang B, Zhou F, Bai N, Zhou S, Luo C, Wang Q, Wong A, Lin F. Digital and Intelligence Education in Medicine: A Bibliometric and Visualization Analysis Using CiteSpace and VOSviewer. Frontiers of Digital Education 2025;2(1) View
  12. Weisman D, Sugarman A, Huang Y, Gelberg L, Ganz P, Comulada W. Development of a GPT-4–Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: Multiphase Study. JMIR Formative Research 2025;9:e65670 View