Insights from teaching artificial intelligence to medical students in Canada.

Autor: Hu R; School of Medicine, Queen's University, Kingston, ON Canada.; School of Biomedical Engineering, The University of British Columbia, Vancouver, BC Canada., Fan KY; Department of Radiation Oncology, The University of Toronto, Toronto, ON Canada., Pandey P; School of Biomedical Engineering, The University of British Columbia, Vancouver, BC Canada., Hu Z; School of Medicine, Queen's University, Kingston, ON Canada., Yau O; Faculty of Medicine, The University of British Columbia, Vancouver, BC Canada., Teng M; Faculty of Medicine, The University of British Columbia, Vancouver, BC Canada., Wang P; School of Medicine, Queen's University, Kingston, ON Canada., Li; School of Medicine, Queen's University, Kingston, ON Canada., Ashraf M; School of Biomedical Engineering, The University of British Columbia, Vancouver, BC Canada., Singla R; School of Medicine, Queen's University, Kingston, ON Canada.; Faculty of Medicine, The University of British Columbia, Vancouver, BC Canada.
Jazyk: angličtina
Zdroj: Communications medicine [Commun Med (Lond)] 2022 Jun 03; Vol. 2 (1), pp. 63. Date of Electronic Publication: 2022 Jun 03 (Print Publication: 2022).
DOI: 10.1038/s43856-022-00125-4
Abstrakt: Clinical artificial intelligence (AI) applications are rapidly developing but existing medical school curricula provide limited teaching covering this area. Here we describe an AI training curriculum we developed and delivered to Canadian medical undergraduates and provide recommendations for future training.
Competing Interests: Competing interestsThe authors declare no competing interests.
(© The Author(s) 2022.)
Databáze: MEDLINE
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