Accepted for/Published in: JMIR Medical Education
Date Submitted: Feb 28, 2023
Date Accepted: Mar 2, 2023
Date Submitted to PubMed: Mar 3, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
The Role of Generative Language Models and Artificial Intelligence in Medical Education: An Conversation with ChatGPT and a Call for Papers
ABSTRACT
ChatGPT is a generative language model tool launched by Open-AI on November 20, 2022, enabling the public to converse with a machine on a broad range of topics, and to generate ideas. This interview with ChatGPT (Feb 13, 2023 version) is part 2 of a larger interview with ChatGPT. It provides a snapshot of the current capabilities of ChatGPT and illustrates the vast potential for medical education, research and practice, but also hints at current problems and limitations. ChatGPT generates some ideas on how to use chatbots in medical education, and illustrates it’s capabilities to generate a virtual patient simulation, generates quizzes for medical students, critiques a simulated doctor-patient communication, critiques research articles, comments on methods to detect machine-generated text to ensure academic integrity, generates a curriculum for health professionals to learn about AI, and helps with drafting a call for papers for a new theme issue to be launched in JMIR Medical Education, on ChatGPT and generative language models in medical education. The conversation also illustrates the importance of proper “prompting”. While the language generator does make occasional mistakes, it admits these when challenged. The interview provides a fascinating glimpse into the future of AI-supported medical education.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.