Accepted for/Published in: JMIR Medical Education
Date Submitted: May 7, 2023
Date Accepted: Sep 28, 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Warning: This is an author submission that is not peer-reviewed or edited.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.
Generative AI in Medical Education: Navigating the Promises and Perils for Tomorrow's Learners
ABSTRACT
Generative artificial intelligence (AI) technologies such as ChatGPT are increasingly used in a variety of different fields. Use of this technology in medicine is growing and medical education is likely to soon follow. Generative AI has the potential to revolutionize medical education but must be used cautiously and with an understanding of the limits of this technology. This article examines several key applications where this technology shows promise for medical educators and learners as well as elucidates areas for concern. Potential benefits include helping explain complex or abstract topics, creating individual and alternative experiences, and improving writing and communication skills. However, these tools still have significant limitations in accuracy and reliability of factual data, may be biased or not fully representative of all populations, and have the potential to aid in academic misconduct. Medical educators should understand the uses and limitations of these technologies and take an active role in shaping their development and implementation in health professions 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.