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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (86) Chatbots and Conversational Agents (543) e-Learning and Digital Medical Education (705) Artificial Intelligence (1421) New Resources for Medical Education (72) New Methods and Approaches in Medical Education (245) Decision Support for Health Professionals (1210) Artificial Intelligence (AI) in Medical Education (83) Artificial Intelligence (96)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48785, first published .
Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review

Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review

Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review

Authors of this article:

Carl Preiksaitis1 Author Orcid Image ;   Christian Rose1 Author Orcid Image
Article Authors Cited by (74) Tweetations (19) Metrics

Carl Preiksaitis   1 * , MD ;   Christian Rose   1 * , MD

1 Department of Emergency Medicine, Stanford University School of Medicine, Palo Alto, CA, United States

*all authors contributed equally

Corresponding Author:

  • Carl Preiksaitis, MD
  • Department of Emergency Medicine
  • Stanford University School of Medicine
  • 900 Welch Road
  • Suite 350
  • Palo Alto, CA, 94304
  • United States
  • Phone: 1 650-723-6576
  • Email: cpreiksaitis@stanford.edu