Addressing algorithmic bias in lung cancer screening eligibility

Our findings suggest that race-aware approaches are necessary to address algorithmic bias and ensure equitable opportunities for lung cancer screening.

Authors

Institutions

Publication Details

Journal
JNCI Journal of the National Cancer Institute
Published
2025-12-24
DOI
https://doi.org/10.1093/jnci/djaf298
Citations
1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52
Controls
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article

Addressing algorithmic bias in lung cancer screening eligibility

Melinda C. Aldrich, Adoma Manful, Jeffrey D. Blume, Sarah Mercaldo
1 citations
JNCI Journal of the National Cancer Institute
Lung Cancer Diagnosis and Treatment
1.52
article

Addressing algorithmic bias in lung cancer screening eligibility

Melinda C. Aldrich, Adoma Manful, Jeffrey D. Blume, Sarah Mercaldo
article en
1 citations

Abstract

Our findings suggest that race-aware approaches are necessary to address algorithmic bias and ensure equitable opportunities for lung cancer screening.

JNCI Journal of the National Cancer InstituteVol. 118(2)
Harvard University (US), Massachusetts General Hospital (US), University of Virginia (US), Vanderbilt University Medical Center (US)
Good health and well-being
Openalex Percentile: Top 12%
Lung Cancer Diagnosis and Treatment
1.52
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