Computer-aided quality assessment (CAQ): the next step for artificial intelligence in colonoscopy?

Recent developments and breakthroughs in artificial intelligence (AI) for colonoscopy have the potential to improve the quality of colonoscopy. Computer-aided detection for colorectal polyps has been shown to increase the adenoma detection rate by more than 10%. Furthermore, recently developed computer-aided quality assessment (CAQ) systems, such as real-time withdrawal speed monitoring, are expected to provide additional gain in colonoscopy practice. However, the added clinical value of combining AI techniques is uncertain. This paper provides an overview of the latest evidence on CAQ systems and identifies knowledge gaps that need to be filled before widespread implementation.