Equitable artificial intelligence for glaucoma screening with fair identity normalization
Abstract Glaucoma is the leading cause of irreversible blindness globally. Research indicates a disproportionate impact of glaucoma on racial and ethnic minorities. Existing deep learning models for glaucoma detection might not achieve equitable performance across diverse identity groups. We develop...
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Main Authors: | Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-025-01432-5 |
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