What do medical students actually need to know about artificial intelligence?
Author(s)McCoy, Liam G.; Nagaraj, Sujay; Morgado, Felipe; Harish, Vinyas; Das, Sunit; Celi, Leo Anthony G.; ... Show more Show less
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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.
DepartmentMassachusetts Institute of Technology. Institute for Medical Engineering and Science
npj Digital Medicine
Springer Science and Business Media
McCoy, Liam G. et al. "What do medical students actually need to know about artificial intelligence?." npj Digital Medicine 3, 1 (June 2020): 86 © 2020 Springer Nature
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