Rising to the challenge of bias in health care AI
- PMID: 34893774
- PMCID: PMC11017306
- DOI: 10.1038/s41591-021-01577-2
Rising to the challenge of bias in health care AI
Abstract
Standfirst: AI-based models may amplify pre-existing human bias within datasets; addressing this problem will require fundamental a realignment of the culture of software development.
Conflict of interest statement
No conflicts of interest to report
Comment on
-
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations.Nat Med. 2021 Dec;27(12):2176-2182. doi: 10.1038/s41591-021-01595-0. Epub 2021 Dec 10. Nat Med. 2021. PMID: 34893776 Free PMC article.
References
-
- Stevens M, Wehrens R & de Bont A Epistemic virtues and data-driven dreams: On sameness and difference in the epistemic cultures of data science and psychiatry. Social Science & Medicine 258, 113116 (2020). - PubMed
-
- Ross C Epic’s sepsis algorithm is going off the rails in the real world. The use of these variables may explain why. in STAT (Boston Globe Media, Boston, 2021).
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
