Analysis of lung function algorithms shows GLI-Global implicitly treats roughly 62% of the Black-White FEV1 gap as exposure-related and that clinical studies applied sufficiency-style fairness criteria before formal AI fairness work.
URL https://www.medrxiv.org/content/ early/2026/05/21/2026.05.15.26352687
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What Medicine Taught Us About Fairness and What It Missed: Lessons from Reconsidering Race-Specific Lung Function Reference Algorithms
Analysis of lung function algorithms shows GLI-Global implicitly treats roughly 62% of the Black-White FEV1 gap as exposure-related and that clinical studies applied sufficiency-style fairness criteria before formal AI fairness work.