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

Chatbots and Conversational Agents (627) Virtual Patients (62) Cost-Effectiveness and Economics (289) Natural Language Processing (800) Clinical Information and Decision Making (1646) Artificial Intelligence (AI) in Medical Education (122)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68486, first published .
Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Authors of this article:

David A Cook1, 2 Author Orcid Image ;   Joshua Overgaard1 Author Orcid Image ;   V Shane Pankratz3 Author Orcid Image ;   Guilherme Del Fiol4 Author Orcid Image ;   Chris A Aakre1 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

David A Cook   1, 2 , MHPE, MD ;   Joshua Overgaard   1 , MD ;   V Shane Pankratz   3 , PhD ;   Guilherme Del Fiol   4 , MD, PhD ;   Chris A Aakre   1 , MD

1 Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, United States

2 Multidisciplinary Simulation Center, Mayo Clinic College of Medicine and Science, Rochester, MN, United States

3 Health Sciences Center, University of New Mexico, Albuquerque, NM, United States

4 Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States

Corresponding Author:

  • David A Cook, MHPE, MD
  • Division of General Internal Medicine
  • Mayo Clinic College of Medicine and Science
  • 200 First St SW
  • Rochester, MN, 55905
  • United States
  • Phone: 1 507 266 4156
  • Email: cook.david33@mayo.edu