In this trial, the investigators aim to evaluate the followings:~the accuracy of automatic detection of important anatomical landmarks (i.e., ileocecal valve, appendiceal orifice);~the accuracy of automatic detection of polyps/adenomas (PDR/ADR);
The investigators hypothesize that the clinical implementation of a deep learning AI system is an optimal tool to monitor, audit and improve the detection and classification of polyps and other anatomical landmarks during colonoscopy. The objectives of this study are to generate preliminary data to evaluate the effectiveness of AI-assisted colonoscopy on: a) the rate of detection of adenomas; b) the automatic detection of the anatomical landmarks (i.e., ileocecal valve and appendiceal orifice).