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Predicting High-Risk Colorectal Polyps Using Pre-Colonoscopy Features: Machine Learning Model Development and Validation

2026-01-29

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose</bold> :Risk stratification for advanced colorectal polyps typically relies on colonoscopy and/or pathology findings. However, there is growing interest in whether non-invasive features available prior to colonoscopy can help identify patients at higher risk. Such approaches may enhance clinical decision-making by prioritizing surveillance for individuals most likely to...

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Literature Corpus work
14df0686-a514-5f10-bbd9-8c2b15d8b2ab
DOI
10.21203/rs.3.rs-8627377/v1
Open publication

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Predicting High-Risk Colorectal Polyps Using Pre-Colonoscopy Features: Machine Learning Model Development and ValidationDOI 10.21203/rs.3.rs-8627377/v1
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