Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review

BACKGROUND: While artificial intelligence (AI) offers possibilities of advanced clinical prediction and decision-making in healthcare, models trained on relatively homogeneous datasets, and populations poorly-representative of underlying diversity, limits generalisability and risks biased AI-based d...

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Detalles Bibliográficos
Autores principales: Celi, Leo Anthony, Cellini, Jacqueline, Charpignon, Marie-Laure, Dee, Edward Christopher, Dernoncourt, Franck, Eber, Rene, Mitchell, William Greig, Moukheiber, Lama, Schirmer, Julian, Situ, Julia, Paguio, Joseph, Park, Joel, Wawira, Judy Gichoya, Yao, Seth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931338/
https://www.ncbi.nlm.nih.gov/pubmed/36812532
http://dx.doi.org/10.1371/journal.pdig.0000022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931338/
https://www.ncbi.nlm.nih.gov/pubmed/36812532
http://dx.doi.org/10.1371/journal.pdig.0000022

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