Many quality indicators have been proposed for colonoscopy, but most colonoscopists and
endoscopy groups focus on measuring the adenoma detection rate and the cecal intubation …

Background The use of artificial intelligence (AI) in detecting colorectal neoplasia during
colonoscopy holds the potential to enhance adenoma detection rates (ADRs) and reduce …

Artificial Intelligence (AI) is a branch of computer science that utilizes optimization,
probabilistic and statistical approaches to analyze and make predictions based on a vast …

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 …

Simple Summary There has been an exponential rise in the availability of artificial
intelligence systems in endoscopy in recent years. As a result, maintaining an informed …

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

Materials and Methods: Electronic databases such as PubMed/Medline, SCOPUS, and Web
of Science were reviewed for original studies (randomized controlled trials, observational …

Background Colonoscopy is a mainstay to detect premalignant neoplastic lesions in the
colon. Real-time Artificial Intelligence (AI)-aided colonoscopy purportedly improves the …

Background: Image-enhanced endoscopy (IEE) has been used in the differentiation
between neoplastic and non-neoplastic colorectal lesions through microvasculature …

Background and Aims Computer-assisted detection (CADe) is a promising technologic
advance that enhances adenoma detection during colonoscopy. However, the role of CADe …