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02/01/26

Addressing algorithmic bias in lung cancer screening eligibility.

Manful, Adoma; Mercaldo, Sarah; Blume, Jeffrey D; Aldrich, Melinda C. J Natl Cancer Inst.

Collection Topics
Big Three Conditions Equity, Access, and Timeliness Tests, Screening, and Laboratory Processes
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Summary

Screening eligibility improves early cancer detection. This cohort study compares eight lung cancer screening strategies and examines algorithmic bias affecting Black/African American participants. The results show that most strategies identify fewer Black/African American patients as eligible compared to White patients. Race-aware methods may be needed to address bias and promote equity in lung cancer screening.

Read the paper
Manful A, Mercaldo S, Blume JD, et al. Addressing algorithmic bias in lung cancer screening eligibility. J Natl Cancer Inst. 2026;118(2):343-353.