Background and Aim Application of artificial intelligence in medicine is now attracting
substantial attention. In the field of gastrointestinal endoscopy, computer‐aided diagnosis …

Simple Summary In recent years, there has been an exponential rise in artificial intelligence-
based technology. Artificial intelligence has been applied to several medical disciplines …

Colonoscopy is an effective screening procedure in colorectal cancer prevention programs;
however, colonoscopy practice can vary in terms of lesion detection, classification, and …

With recent breakthroughs in artificial intelligence, computeraided diagnosis (CAD) for
colonoscopy is gaining increasing attention. CADallows automated detection and …

Artificial intelligence (AI) has increasingly been employed in multiple fields, and there has
been significant interest in its use within gastrointestinal endoscopy. Computer-aided …

The application of artificial intelligence (AI) in colonoscopy is attracting a growing amount of
attention because it has the potential to improve the quality of colonoscopy. 1, 2 The main …

Background Artificial intelligence (AI) assistance has been considered as a promising way to
improve colonoscopic polyp detection, but there are limited prospective studies on real‐time …

Computer-aided diagnosis offers a promising solution to reduce variation in colonoscopy
performance. Pooled miss rates for polyps are as high as 22%, and associated interval …

Background and aims Improving the rate of polyp detection is an important measure to
prevent colorectal cancer (CRC). Real-time automatic polyp detection systems, through …

Recent breakthroughs in artificial intelligence (AI), specifically via its emerging sub-field
“deep learning,” have direct implications for computer-aided detection and diagnosis (CADe …