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What do medical students actually need to know about artificial intelligence?


ABSTRACT: With emerging innovations in artificial intelligence (AI) poised to substantially impact medical practice, interest in training current and future physicians about the technology is growing. Alongside comes the question of what, precisely, should medical students be taught. While competencies for the clinical usage of AI are broadly similar to those for any other novel technology, there are qualitative differences of critical importance to concerns regarding explainability, health equity, and data security. Drawing on experiences at the University of Toronto Faculty of Medicine and MIT Critical Data's "datathons", the authors advocate for a dual-focused approach: combining robust data science-focused additions to baseline health research curricula and extracurricular programs to cultivate leadership in this space.

SUBMITTER: McCoy LG 

PROVIDER: S-EPMC7305136 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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What do medical students actually need to know about artificial intelligence?

McCoy Liam G LG   Nagaraj Sujay S   Morgado Felipe F   Harish Vinyas V   Das Sunit S   Celi Leo Anthony LA  

NPJ digital medicine 20200619


With emerging innovations in artificial intelligence (AI) poised to substantially impact medical practice, interest in training current and future physicians about the technology is growing. Alongside comes the question of what, precisely, should medical students be taught. While competencies for the clinical usage of AI are broadly similar to those for any other novel technology, there are qualitative differences of critical importance to concerns regarding explainability, health equity, and da  ...[more]

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