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 risk...

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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, for MIT Critical Data
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-03-01
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000022

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https://doi.org/10.1371/journal.pdig.0000022

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