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AI Predicts Liver Cancer Risk from Routine Blood Tests
Key Takeaways
- A random forest model achieved 0.88 AUROC predicting liver cancer risk using only routine blood tests and EHR data from 500,000+ patients
- Crucially, 69% of liver cancer cases in the study had no prior liver disease diagnosis — a gap current screening protocols miss entirely
- A simplified 15-feature version still outperformed all existing clinical risk tools and validated well across diverse US populations
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DT Editorial Team··via medicalxpress.com