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This paper is in the following e-collection/theme issue:

Scoping Review Protocols (572) Search Strategies and Retrieval for Systematic Reviews (42) Machine Learning (3300) Artificial Intelligence (4930) Ethical, Legal, and Social Issues in AI (217) Responsible Health AI (247)

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

Authors of this article:

Duy A Dinh1 Author Orcid Image ;   Julia St Louis2 Author Orcid Image ;   Erin Ziegler3 Author Orcid Image ;   Patricia Gongal4, 5 Author Orcid Image ;   Katie L Bain5 Author Orcid Image ;   Ani Orchanian-Cheff6 Author Orcid Image ;   Sandra Holdsworth5 Author Orcid Image ;   Shilpa Raju5 Author Orcid Image ;   Divya Sharma7, 8 Author Orcid Image ;   Mamatha Bhat9, 10, 11 Author Orcid Image ;   Kathleen A. Sheehan12, 13 Author Orcid Image ;   Suze Berkhout12, 13 Author Orcid Image
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