In recent years, there has been a litany of publications assessing the potential benefits of emerging artificial intelligence (AI) applications in improving select aspects of colonoscopy quality. This has especially been the case for tools to assist in polyp characterization (computer-aided diagnosis [CADx]) and detection (computer-aided detection [CADe]).1,2 Several high-quality studies confirmed excellent accuracy in predicting polyp pathology when using CADx for optical diagnosis. The overwhelming evidence from published randomized trials of CADe suggests an improvement in adenoma detection rate (ADR) that may be greater than any other endoscopic intervention.