Background and study aims Artificial intelligence (AI)-based systems for computer-aided
detection (CADe) of polyps receive regular updates and occasionally offer customizable …

Virtual colonoscopy (VC) allows a physician to virtually navigate within a reconstructed 3D
colon model searching for colorectal polyps. Though VC is widely recognized as a highly …

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

Background: Owing to their rapid development, artificial intelligence (AI) technologies offer a
great promise for gastroenterology practice and research. At present, AI-guided image …

Background and Aims We performed a meta-analysis of all published studies to determine
the diagnostic accuracy of artificial intelligence (AI) on histology prediction and detection of …

The early endoscopic identification, resection, and treatment of precancerous adenoma and
early-stage cancer has been shown to reduce not only the prevalence of colorectal cancer …

The performance of artificial intelligence-aided colonoscopy (AIAC) in a real-world setting
has not been described. We compared adenoma and polyp detection rates (ADR/PDR) in a …

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 …

The adenoma detection rate is an established quality indicator for colonoscopy. For
instance, a 1% increase in the adenoma detection rate was associated with a 3% decrease …

BACKGROUND Artificial intelligence in colonoscopy is an emerging field, and its application
may help colonoscopists improve inspection quality and reduce the rate of missed polyps …