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

Systematic Review Protocols (funded) (27) Digital Health Reviews (1351) Artificial Intelligence (105) Artificial Intelligence (1466) Validity, Reliability, and Bias (96)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46684, first published .
Risk of Bias Mitigation for Vulnerable and Diverse Groups in Community-Based Primary Health Care Artificial Intelligence Models: Protocol for a Rapid Review

Risk of Bias Mitigation for Vulnerable and Diverse Groups in Community-Based Primary Health Care Artificial Intelligence Models: Protocol for a Rapid Review

Risk of Bias Mitigation for Vulnerable and Diverse Groups in Community-Based Primary Health Care Artificial Intelligence Models: Protocol for a Rapid Review

Authors of this article:

Maxime Sasseville1, 2 Author Orcid Image ;   Steven Ouellet1 Author Orcid Image ;   Caroline Rhéaume2, 3 Author Orcid Image ;   Vincent Couture1 Author Orcid Image ;   Philippe Després4 Author Orcid Image ;   Jean-Sébastien Paquette2, 3 Author Orcid Image ;   Karine Gentelet5 Author Orcid Image ;   David Darmon6 Author Orcid Image ;   Frédéric Bergeron7 Author Orcid Image ;   Marie-Pierre Gagnon1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Sasseville M, Ouellet S, Rhéaume C, Sahlia M, Couture V, Després P, Paquette J, Darmon D, Bergeron F, Gagnon M. Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review. Journal of Medical Internet Research 2025;27:e60269 View
  2. Li F, Wang S, Gao Z, Qing M, Pan S, Liu Y, Hu C. Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring. Frontiers in Medicine 2025;11 View