… In this summary, we reviewed state-of-the-art AI in the field of gastrointestinal endoscopy and
… for algorithm development. Keywords: Artificial intelligence, Deep learning, Gastrointestinal …

… the examination (eg, endoscopic resection, need for endoscopic surveillance) and to assist
… on algorithms that have been developed to provide information regarding gastric lesions, in …

… that refers to the development and application of computer algorithms that can perform … GI
endoscopy. This document reviews the currently reported applications of AI in GI endoscopy, …

… endoscopic imaging techniques have been developed, … gastric cancer, Kubota et al.14
developed a CAD system using a back-propagation neural network algorithm on endoscopic …

… artificial intelligence and recent developments in computer hardware have enabled the narrower
area of machine learning … various factors; optimizing algorithms, image database quality …

… DL involves multiple-layered neural network algorithms which … continue to develop and have
an impact on GI endoscopy in … comprehensive overview of AI in GI endoscopy. The aim is to …

… established risk factor for the development of gastroduodenal ulcers and gastric cancer.
AI-based … A neural network algorithm for detection of GI angiectasia during small-bowel capsule …

… computer algorithms, machines have got AI and human-brain like functions. AI proved
considerable efficiency and reliability in GI endoscopy though it still needs more development for …

… [61], researchers developed a CNN trained on 149 gastrointestinal endoscopy images and
… continue to expand as computational power and algorithms improve. As the field evolves, a …

… With the development of endoscopic techniques, such as … and feasibility studies, while
late-stage product development … power and the advance of DL algorithms, we are confident that AI-…