Artificial Intelligence (AI) to predict the histology of polyps per colonoscopy, offers a promising solution to reduce variation in colonoscopy performance. This new and innovative non-invasive technology will improve the quality of screening colonoscopies, and reduce the costs of colorectal cancer screening. The aim of the study is to performed a cross-sectional, multi-center study evaluating the diagnostic performance of the CAD EYE automatic characterization system for the histology of colonic polyps in colorectal cancer screening colonoscopy.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Estimation of the sensitivity of the automatic characterization system CAD EYE.
Timeframe: Inclusion date (date of the colonoscopy)