Colonoscopy remains the standard strategy for screening for colorectal cancer around the
world due to its efficacy in both detecting adenomatous or pre-cancerous lesions and the …

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

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 …

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 …

Methods: A comprehensive literature search of PubMed/Medline, Embase, and Cochrane
was performed through May 6, 2022, to include RCTs comparing ADR for any endoscopic …

Introduction Artificial intelligence (AI) in gastrointestinal endoscopy includes systems
designed to interpret medical images and increase sensitivity during examination. This may …

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

Background and study aims With the advent of deep neural networks (DNN) learning, the
field of artificial intelligence (AI) is rapidly evolving. Recent randomized controlled trials …

Background and study aims Adenoma detection rate (ADR) is a well-accepted quality
indicator of screening colonoscopy. In recent years, the added value of artificial intelligence …

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