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

Background Differential diagnosis of neoplasms and non-neoplasms is crucial in ensuring
appropriate and proper medical management for patients undergoing colonoscopy …

Background and study aims Artificial intelligence (AI) in gastrointestinal endoscopy is
developing very fast. Computer-aided detection of polyps and computer-aided diagnosis …

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

Objectives This study review focuses on a deep learning method for the detection of
colorectal lesions in colonoscopy and AI support for detecting colorectal neoplasia …

Background and aims There has been an increasing role of artificial intelligence (AI) in the
characterization of colorectal polyps. Recently, a novel AI algorithm for the characterization …

Background: Artificial intelligence systems recently demonstrated an increase in polyp and
adenoma detection rate. Over the daytime, the adenoma detection rate decreases as …

Background and study aims Artificial intelligence (AI)-based systems for computer-aided
detection (CADe) of polyps receive regular updates and occasionally offer customizable …

The 9-member Editorial Board of the American Society for Gastrointestinal Endoscopy
performed a systematic literature search of original articles published during 2021 in …

Artificial intelli-gence (AI) is expected to assist us by mimicking the process of human
learning. The hope is that AI will significantly improve our GI-practice from image …