Insights from teaching artificial intelligence to medical students in Canada.

Hu, Ricky; Fan, Kevin Y; Pandey, Prashant; Hu, Zoe; Yau, Olivia; Teng, Minnie; Wang, Patrick; Li, Toni; Ashraf, Mishal; Singla, Rohit

Hu, Ricky; Fan, Kevin Y; Pandey, Prashant; Hu, Zoe; Yau, Olivia; Teng, Minnie; Wang, Patrick; Li, Toni; Ashraf, Mishal; Singla, Rohit.

Afiliación

Hu R; School of Medicine, Queen's University, Kingston, ON Canada.
Fan KY; School of Biomedical Engineering, The University of British Columbia, Vancouver, BC Canada.
Pandey P; Department of Radiation Oncology, The University of Toronto, Toronto, ON Canada.
Hu Z; School of Biomedical Engineering, The University of British Columbia, Vancouver, BC Canada.
Yau O; School of Medicine, Queen's University, Kingston, ON Canada.
Teng M; Faculty of Medicine, The University of British Columbia, Vancouver, BC Canada.
Wang P; Faculty of Medicine, The University of British Columbia, Vancouver, BC Canada.
Li; School of Medicine, Queen's University, Kingston, ON Canada.
Ashraf M; School of Medicine, Queen's University, Kingston, ON Canada.
Singla R; School of Biomedical Engineering, The University of British Columbia, Vancouver, BC Canada.

Commun Med (Lond) ; 2(1): 63, 2022.

Article en En | MEDLINE | ID: mdl-35668847

RESUMEN

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.

Palabras clave

Computational biology and bioinformatics; Health care

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Commun Med (Lond) Año: 2022 Tipo del documento: Article

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