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

Colon capsule endoscopy (CCE) was introduced nearly two decades ago. Initially, it was
limited by poor image quality and short battery time, but due to technical improvements, it …

Background and Aims The use of artificial intelligence (AI) during colonoscopy is attracting
attention as an endoscopist-independent tool to predict histologic disease activity of …

Applications of artificial intelligence (AI) and machine learning (ML) in medicine are far-
reaching and advancing rapidly. 1 In gastroenterology, AI and, more specifically, ML have …

Artificial intelligence (AI) and its application in medicine has grown large interest. Within
gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most …

Background and Aims Artificial intelligence (AI), specifically deep learning, offers the
potential to enhance the field of GI endoscopy in areas ranging from lesion detection and …

Research in computer-aided diagnosis (CAD) and the application of artificial intelligence
(AI) in the endoscopic evaluation of the gastrointestinal tract is novel. Since colonoscopy …

Background Artificial intelligence (AI) assistance has been considered as a promising way to
improve colonoscopic polyp detection, but there are limited prospective studies on real‐time …

Purpose of review This review highlights the history, recent advances, and ongoing
challenges of artificial intelligence (AI) technology in colonic polyp detection. Recent …

Research in artificial intelligence (AI) in gastroenterology has increased over the last
decade. Colonoscopy represents the most widely published field with regards to its use in …