Insights from teaching artificial intelligence to medical students in Canada

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

doi:10.1038/s43856-022-00125-4

Insights from teaching artificial intelligence to medical students in Canada

Commun Med (Lond). 2022 Jun 3;2(1):63. doi: 10.1038/s43856-022-00125-4. eCollection 2022.

Authors

Ricky Hu^{1

2}, Kevin Y Fan³, Prashant Pandey², Zoe Hu¹, Olivia Yau⁴, Minnie Teng⁴, Patrick Wang¹, Toni Li¹, Mishal Ashraf², Rohit Singla^{1

4}

Affiliations

¹ School of Medicine, Queen's University, Kingston, ON Canada.
² School of Biomedical Engineering, The University of British Columbia, Vancouver, BC Canada.
³ Department of Radiation Oncology, The University of Toronto, Toronto, ON Canada.
⁴ Faculty of Medicine, The University of British Columbia, Vancouver, BC Canada.

Abstract

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.

Keywords: Computational biology and bioinformatics; Health care.