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Published on in Vol 15 (2026)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/103601, first published .
Doctor interacting with futuristic medical interface, showcasing digital health technology.

Intersectionality in AI and Machine Learning for Health Care: Protocol for a Scoping Review

Intersectionality in AI and Machine Learning for Health Care: Protocol for a Scoping Review

Duy A Dinh   1 , BHSc ;   Julia St Louis   2 , RN, MN ;   Erin Ziegler   3 , NP-PHC, PhD ;   Patricia Gongal   4, 5 , PhD ;   Katie L Bain   5 , BAT, PMP ;   Ani Orchanian-Cheff   6 , BA, MISt ;   Sandra Holdsworth   5 ;   Shilpa Raju   5 , HBSc, MPH ;   Divya Sharma   7, 8 , PhD ;   Mamatha Bhat   9, 10, 11 , MD, MSc, PhD ;   Kathleen A. Sheehan   12, 13 , MD, DPhil ;   Suze Berkhout   12, 13 , MD, PhD

1 Faculty of Medicine, University of Toronto, Toronto, ON, Canada

2 Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada

3 Daphne Cockwell School of Nursing, Toronto Metropolitan University, Toronto, ON, Canada

4 University of Alberta, Edmonton, AB, Canada

5 Canadian Donation and Transplantation Research Program, Edmonton, AB, Canada

6 Library and Information Services, University Health Network, Toronto, ON, Canada

7 Department of Mathematics and Statistics, York University, Toronto, ON, Canada

8 Department of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

9 Ajmera Transplant Program, University Health Network, Toronto, ON, Canada

10 Division of Gastroenterology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada

11 Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada

12 Department of Psychiatry, University of Toronto, Toronto, ON, Canada

13 Centre for Mental Health, University Health Network, Toronto, ON, Canada

Corresponding Author: