Effect of computer‐aided colonoscopy on adenoma miss rates and polyp detection: A systematic review and meta‐analysis

Multiple computer‐aided techniques utilizing artificial intelligence (AI) have been created to improve the detection of polyps during colonoscopy and thereby reduce the incidence of colorectal cancer. While adenoma detection rates (ADR) and polyp detection rates (PDR) are important colonoscopy quality indicators, adenoma miss rates (AMR) may better quantify missed lesions, which can ultimately lead to interval colorectal cancer. The purpose of this systematic review and meta‐analysis was to determine the efficacy of computer‐aided colonoscopy (CAC) with respect to AMR, ADR, and PDR in randomized controlled trials.

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