Global disparity bias in ophthalmology artificial intelligence applications
BMJ Health Care Inform
.
2022 Apr;29(1):e100470.
doi: 10.1136/bmjhci-2021-100470.
Authors
Luis Filipe Nakayama
1
,
Ashley Kras
2
,
Lucas Zago Ribeiro
3
,
Fernando Korn Malerbi
3
,
Luis Salles Mendonça
3
4
,
Leo Anthony Celi
5
6
,
Caio Vinicius Saito Regatieri
3
,
Nadia K Waheed
4
Affiliations
1
São Paulo Federal University, São Paulo, SP, Brazil
[email protected]
.
2
Retinal Imaging Lab, Harvard University, Cambridge, Massachusetts, USA.
3
São Paulo Federal University, São Paulo, SP, Brazil.
4
Tufts Medical Center, New England Eye Center, Boston, Massachusetts, USA.
5
Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
6
Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
PMID:
35396248
PMCID:
PMC8996038
DOI:
10.1136/bmjhci-2021-100470
No abstract available
Keywords:
artificial intelligence; public health informatics.
MeSH terms
Artificial Intelligence*
Bias
Humans
Ophthalmology*
Grants and funding
R01 EB017205/EB/NIBIB NIH HHS/United States
R56 EB017205/EB/NIBIB NIH HHS/United States