Brief Report: Validation of the Sybil Lung Cancer Risk Prediction Model in a Predominantly Black Screening Cohort.
An AI lung cancer risk model shows strong predictive accuracy across diverse populations, potentially enabling more targeted screening beyond current guidelines.
INTRODUCTION: Lung cancer remains the leading cause of cancer-related mortality in the United States and worldwide. CONCLUSIONS: Sybil demonstrated robust lung cancer risk prediction in this screening cohort, supporting its generalizability and highlighting its potential to improve risk-based screening beyond current eligibility criteria in diverse populations.
What the study was
- Study design
- Retrospective Cohort
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
Why it surfaced
Matched watchlist: AI/ML in clinical diagnostics ; scored 8/10 based on abstract-level review; design=Retrospective Cohort; species=human; flag=PROMISING_PRELIMINARY.
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