Beyond the algorithm: what makes artificial intelligence-assisted colonoscopy effective in routine practice?

Abstract

great interest the study by Park and Bae 1 evaluating a novel computer-aided detection (CADe) system in routine colonoscopy practice. In their prospective, propensity score-matched study of 1,758 patients, CADe-assisted colonoscopy increased the adenoma detection rate (ADR) from 38.8% to 45.1%, the sessile serrated lesion detection rate from 2.5% to 5.7%