Accepted for/Published in: JMIR Medical Education
Date Submitted: Sep 9, 2019
Date Accepted: Oct 20, 2019
Warning: This is an author submission that is not peer-reviewed or edited.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.
Introducing Artificial Intelligence Training in Medical Education
ABSTRACT
Healthcare is evolving and with it the need to reform medical education. As the practice of medicine enters the age of artificial intelligence (AI), the use of data to improve clinical decision making will grow pushing the need for skillful medicine-machine interaction. As the rate of medical knowledge grows and physician burnout due to inefficient workflow caused by digitization becomes more pervasive, technologies like AI are needed to help resolve these challenges. Medical professionals need to be adequately trained in this new technology, its advantages to improve cost, quality and access to healthcare and its shortfalls such as transparency and liability. AI needs to be seamlessly integrated across the different aspects of the curriculum. In this paper we address the state of medical education today and recommend a framework on how to evolve the medical education curriculum to include AI.
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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.