Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in
practice is critical. Clinical evaluation aims to confirm acceptable AI performance through …

Background This meta-analysis aimed to determine whether artificial intelligence (AI)
improves colonoscopy outcome metrics ie adenoma detection rate (ADR) and polyp …

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

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 …

1Department of Radiology and Research Institute of Radiology, Asan Medical Center,
University of Ulsan College of Medicine, Seoul, Korea; 2Department of Radiology, Seoul St …

Studying individual data types in isolation provides only limited and incomplete answers to
complex biological questions and particularly falls short in revealing sufficient mechanistic …

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

Abstract Purpose for Review This perspective piece has two goals: first, to describe issues
related to artificial intelligence-based applications for cancer control as they may impact …