Accessibility settings

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

Viewpoint and Opinions on Technology and Innovation in Public Health (69) Clinical Information and Decision Making (2083) Public Health Informatics (148) Health Care Quality and Health Services Research (361) Artificial Intelligence (2373)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88457, first published .
Bias-Mitigated AI as a Foundation for Resilient and Effective Health Systems

Bias-Mitigated AI as a Foundation for Resilient and Effective Health Systems

Bias-Mitigated AI as a Foundation for Resilient and Effective Health Systems

Authors of this article:

Jarbas Barbosa da Silva Jr1 Author Orcid Image ;   Maureen Birminghamm1 Author Orcid Image ;   Ana Rivière Cinnamond1 Author Orcid Image ;   Eldonna Boisson1 Author Orcid Image ;   Mary Lou Valdez1 Author Orcid Image ;   Sebastian Garcia Saiso1 Author Orcid Image ;   Joao Paulo Souza1 Author Orcid Image ;   Myrna C Marti1 Author Orcid Image ;   Leah-Marie Richards1 Author Orcid Image ;   Javier Guzman2 Author Orcid Image ;   Jennifer Nelson2 Author Orcid Image ;   Karina Pesce3 Author Orcid Image ;   Ana Estela Haddad4 Author Orcid Image ;   James Fitzgerald1 Author Orcid Image ;   Ernesto Bascolo1 Author Orcid Image ;   Marcelo D'Agostino1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Chen S, Peng Z, Liu N. A dialectical lens for AI and medical humanities: advancing responsible augmented humanism in Digital Public Health. Frontiers in Public Health 2026;14 View