The number of artificial intelligence (AI) tools for colonoscopy on the market is increasing
with supporting clinical evidence. Nevertheless, their implementation is not going smoothly …

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

Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In
the field of colonoscopy, major endoscopy manufacturers have already launched their own …

Gastrointestinal endoscopy has proved to be a perfect context for the development of
artificial intelligence (AI) systems that can aid endoscopists in many tasks of their daily …

Abstract Purpose of Review Artificial intelligence (AI) is a rapidly growing field in
gastrointestinal endoscopy, and its potential applications are virtually endless, with studies …

Abstract Background and Aims Artificial intelligence-aided colonoscopy significantly
improves adenoma detection. We assessed the cost-effectiveness of the GI Genius …

Background and Aims Computer-aided detection (CADe) has been shown to improve polyp
detection in clinical trials. Limited data exist on the impact, utilization, and attitudes toward …

Background: Artificial intelligence computer-aided detection (CADe) of colorectal neoplasia
during colonoscopy may increase adenoma detection rates (ADRs) and reduce adenoma …

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

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 …