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Racial Bias in Lung Function Diagnostic Algorithm Leads to Underdiagnosis in Black Men

AI Incident Database · article · Jun 1, 2023 · UTC

A study published in JAMA Network Open reveals that racial bias built into a commonly used medical diagnostic algorithm for lung function may be leading to underdiagnoses of breathing problems in Black men. The study suggests that as many as 40% more Black male patients might have been accurately diagnosed if the software were not racially biased. The software algorithm adjusts diagnostic thresholds based on race, affecting medical treatments and interventions.

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recordType
incident-report
evidenceStatus
reported
region
Global

Reported occurrence date: 2023-06-01T00:00:00.000Z

Evidence & attribution

AI Incident Database, Responsible AI Collaborative; McGregor (2021), Preventing Repeated Real World AI Failures by Cataloging Incidents. Incident-specific contributor credits are available at each citation link. Metadata adapted; article text excluded.

License: CC BY-SA 4.0

First collected: 2026-09-19T22:50:59.123Z. This is not the publication date.

Observed changes

AIIC observation times, not verified publisher revision times. Up to eight recent revisions.

2026-09-20T23:22:28.549Z

  • publishedAt: Not provided2023-06-01T00:00:00.000Z