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 …

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 …

Background Artificial intelligence (AI)-based polyp detection systems are used during
colonoscopy with the aim of increasing lesion detection and improving colonoscopy quality …

Background: This study aimed to compare artificial intelligence (AI)-aided colonoscopy with
conventional colonoscopy for polyp detection. Methods: A systematic literature search was …

Background This meta-analysis aimed to determine whether artificial intelligence (AI)
improves colonoscopy outcome metrics ie adenoma detection rate (ADR) and polyp …

Colonoscopy is an important method to diagnose polyps, especially adenomatous polyps.
However, the rate of missed diagnoses is relatively high. In this study, we aimed to …

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

Background and Aims One-fourth of colorectal neoplasia are missed at screening
colonoscopy, representing the main cause of interval colorectal cancer. Deep learning …

Background and Aims Artificial intelligence (AI)–assisted colonoscopy improves polyp
detection and characterization in colonoscopy. However, data from large-scale multicenter …

Colorectal cancer remains a leading cause of morbidity and mortality in the United States.
Advances in artificial intelligence (AI), specifically computer aided detection and computer …