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

<jats:sec id="sec001"> <jats:title>Background</jats:title> <jats:p>While artificial intelligence (AI) offers possibilities of advanced clinical prediction and decision-making in healthcare, models trained on relatively homogeneous datasets, and populations poorly-...

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Bibliographic Details
Main Authors: 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
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Format: Article
Published: Public Library of Science (PLoS) 2022
Online Access:https://hdl.handle.net/1721.1/142623

Internet

https://hdl.handle.net/1721.1/142623

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