<ul><li>Advances in digital pathology and deep learning enable the integration of pathology slides and medical records for more accurate CRC risk prediction.</li><li>A transformer-based model for histopathology image analysis was adapted to predict 5-year CRC risk using data from the New Hampshire Colonoscopy Registry.</li><li>Training the model to predict intermediate clinical variables improved 5-year CRC risk prediction compared to direct prediction.</li><li>Incorporating both imaging and non-imaging data further improved performance compared to traditional features from colonoscopy and microscopy reports.</li></ul>

Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records

Discover more