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

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 …

Background Artificial intelligence systems have been developed to improve polyp detection.
We aimed to evaluate the effect of real-time computer-aided detection (CADe) on the …

Colorectal cancer is a major health problem, where advances towards computer-aided
diagnosis (CAD) systems to assist the endoscopist can be a promising path to improvement …

Background and Aims Artificial intelligence–based computer-aid detection (CADe) devices
have been recently tested in colonoscopies, increasing the adenoma detection rate (ADR) …

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 …

Background and Aims Performing a high-quality colonoscopy is critical for optimizing the
adenoma detection rate (ADR). Colonoscopy withdrawal time (a surrogate measure) of≥ 6 …

Colorectal cancer is one of the most frequent malignancies. Colonoscopy is the de facto
standard for precancerous lesion detection in the colon, ie, polyps, during screening studies …

Artificial intelligence improves adenoma detection rate during colonoscopy Page 22 New
Zealand Medical Journal Te ara tika o te hauora hapori 2022 Sep 2; 135 (1561). ISSN 1175-8716 …

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