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洞見 - Colorectal Cancer Risk Prediction
New CRC Risk Prediction Model Outperforms Polyp-Based Model
A comprehensive model incorporating patient age, diabetes, colonoscopy indications, and polyp findings is more accurate in predicting colorectal cancer risk than a polyp-based model.
Predictive Modeling Using Medical Images and Records to Improve Colorectal Cancer Risk Assessment and Guide Colonoscopy Surveillance
Integrating deep learning analysis of histopathology images with clinical data significantly improves the accuracy of 5-year colorectal cancer risk prediction, enabling more effective personalized colonoscopy surveillance strategies.
