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

Communications Medicine (Jun 2022)

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

Affiliations

Ricky Hu: School of Medicine, Queen’s University
Kevin Y. Fan: Department of Radiation Oncology, The University of Toronto
Prashant Pandey: School of Biomedical Engineering, The University of British Columbia
Zoe Hu: School of Medicine, Queen’s University
Olivia Yau: Faculty of Medicine, The University of British Columbia
Minnie Teng: Faculty of Medicine, The University of British Columbia
Patrick Wang: School of Medicine, Queen’s University
Toni Li: School of Medicine, Queen’s University
Mishal Ashraf: School of Biomedical Engineering, The University of British Columbia
Rohit Singla: School of Medicine, Queen’s University

DOI: https://doi.org/10.1038/s43856-022-00125-4
Journal volume & issue: Vol. 2, no. 1
pp. 1 – 5

Abstract

Read online

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.

Published in Communications Medicine

ISSN: 2730-664X (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Medicine
Website: https://www.nature.com/commsmed/

About the journal