… endoscopy is characterized by a high adenoma detection rate (ADR) with few missed
adenomas. Various image-enhanced endoscopy … The application of artificial intelligence (AI) in …

… Artificial intelligence has been portrayed as a silver bullet for a number of challenges
encountered in gastrointestinal (GI) endoscopy and beyond. Intense research, commercial and …

… Currently, the resolution of images is relatively low in capsule endoscopy compared to
other digestive endoscopies. Moreover, the interpretation and diagnosis of capsule …

… of artificial intelligence in gastrointestinal endoscopy. GI, gastrointestinal; BERN, Barrett’s
esophagus-related neoplasia; PIVI, Preservation and Incorporation of Valuable Endoscopic …

… endoscopy depends on the experience and knowledge of the endoscopist. The application
of artificial intelligence in endoscopy … The application of AI in upper endoscopy is aimed at …

… Artificial intelligence (AI) has revolutionized the medical diagnostic process of various
diseases. Since the manual reading of capsule endoscopy … of capsule endoscopy images make …

… Therefore, endoscopic detection of gastric cancer at an earlier stage is the single most …
organ-preserving endoscopic therapy such as endoscopic mucosal resection or endoscopic …

… artificial intelligence (AI) in the detection of early upper gastrointestinal cancer (EUGIC) using
endoscopic … on AI-assisted diagnosis of EUGIC using endoscopic images. The pooled area …

… , we selected an open access endoscopic videos dataset from Gastrolab [32] and the KVASIR
dataset [33]. The datasets contain various endoscopic videos related to different parts of …

… We developed a deep learning-based artificial intelligence (AI) model for endoscopic
images of small-bowel angioectasia. For an algorithm to detect small-bowel angioectasia, 2237 …