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 competenci...

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Autores principales: Liam G. McCoy, Sujay Nagaraj, Felipe Morgado, Vinyas Harish, Sunit Das, Leo Anthony Celi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/b1a5943f58554eb287547754762f3d47
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spelling oai:doaj.org-article:b1a5943f58554eb287547754762f3d472021-12-02T17:41:31ZWhat do medical students actually need to know about artificial intelligence?10.1038/s41746-020-0294-72398-6352https://doaj.org/article/b1a5943f58554eb287547754762f3d472020-06-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0294-7https://doaj.org/toc/2398-6352Abstract 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.Liam G. McCoySujay NagarajFelipe MorgadoVinyas HarishSunit DasLeo Anthony CeliNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-3 (2020)
institution DOAJ
collection DOAJ
language EN
topic Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle Computer applications to medicine. Medical informatics
R858-859.7
Liam G. McCoy
Sujay Nagaraj
Felipe Morgado
Vinyas Harish
Sunit Das
Leo Anthony Celi
What do medical students actually need to know about artificial intelligence?
description 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.
format article
author Liam G. McCoy
Sujay Nagaraj
Felipe Morgado
Vinyas Harish
Sunit Das
Leo Anthony Celi
author_facet Liam G. McCoy
Sujay Nagaraj
Felipe Morgado
Vinyas Harish
Sunit Das
Leo Anthony Celi
author_sort Liam G. McCoy
title What do medical students actually need to know about artificial intelligence?
title_short What do medical students actually need to know about artificial intelligence?
title_full What do medical students actually need to know about artificial intelligence?
title_fullStr What do medical students actually need to know about artificial intelligence?
title_full_unstemmed What do medical students actually need to know about artificial intelligence?
title_sort what do medical students actually need to know about artificial intelligence?
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/b1a5943f58554eb287547754762f3d47
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