Future Implications of Artificial Intelligence in Medical Education
Author: Forrest Bohler1, Nikhil Aggarwal1, Garrett Peters1, Varna Taranikanti1
Affiliation:
1 Foundational Medical Studies, Oakland University William Beaumont School of Medicine, Rochester, USA.
Conference/Journal: Cureus
Date published: 2024 Jan 8
Other:
Volume ID: 16 , Issue ID: 1 , Pages: e51859 , Special Notes: doi: 10.7759/cureus.51859. , Word Count: 123
Artificial intelligence has experienced explosive growth in the past year that will have implications in all aspects of our lives, including medicine. In order to train a physician workforce that understands these new advancements, medical educators must take steps now to ensure that physicians are adequately trained in medical school, residency, and fellowship programs to become proficient in the usage of artificial intelligence in medical practice. This manuscript discusses the various considerations that leadership within medical training programs should be mindful of when deciding how to best integrate artificial intelligence into their curricula.
Keywords: artificial intelligence and education; artificial intelligence in medicine; artificial intelligence in radiology; medical education curriculum; medical education technology; medical resident education; medical school education.
PMID: 38327947 PMCID: PMC10848885 DOI: 10.7759/cureus.51859
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