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The goal of this clinical trial is to compare the detection rate of clinically significant serrated lesions (CSSL) in participants undergoing water exchange (WE) colonoscopy with artificial intelligence (AI)-based computer-aided detection (CADe) for screening, surveillance, diagnosis for symptoms, or referred owing to a positive fecal immunochemical test (FIT) or guaiac fecal occult blood test (gFOBT) result. There will be two arms in this study: WE with AI-assisted CADe (WEAID) control and WEAID plus linked-color imaging (LCI). The main question it aims to answer is whether the addition of LCI into WEAID colonoscopy increases CSSL detection rate. Both groups use water instead of air to insert the colonoscope into the cecum. The control method uses CADe to help detect colonic lesions. The study method uses a combination of CADe and LCI to detect lesions. Researchers will compare CSSL det
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