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

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

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<h4>Background</h4> 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 ris...

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Bibliographic Details
Main Authors: Leo Anthony Celi, Jacqueline Cellini, Marie-Laure Charpignon, Edward Christopher Dee, Franck Dernoncourt, Rene Eber, William Greig Mitchell, Lama Moukheiber, Julian Schirmer, Julia Situ, Joseph Paguio, Joel Park, Judy Gichoya Wawira, Seth Yao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-03-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931338/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931338/?tool=EBI

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