A new study validates the Sybil AI model for predicting lung cancer risk using low-dose CT in a predominantly Black cohort at an urban safety-net hospital.
Key Details
- 1Study presented at the 2025 IASLC World Conference on Lung Cancer.
- 2Validation conducted at UI Health on 2,092 baseline low-dose CT scans from 2014-2024.
- 3Cohort primarily Non-Hispanic Black (62%), with 13% Hispanic and 4% Asian.
- 4Sybil demonstrated strong Area Under the Curve (AUC): 0.94 (1 yr), 0.90 (2 yr), 0.86 (3 yr), 0.85 (4 yr), 0.80 (5 yr), 0.79 (6 yr).
- 5Results remained strong after restricting to Black participants and excluding recent diagnoses.
- 6The Sybil Implementation Consortium will advance to prospective clinical trials for clinical workflow integration.
Why It Matters

Source
EurekAlert
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