… With the incessant advances in information technology and its implications in all domains of
our life, artificial intelligence (AI) algorithms started to emerge as a need for a better machine …

… 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 …

… in gastroenterology, especially in the realm of GI endoscopy, … the use of algorithms to analyze
endoscopic images and detect … forms of AI to varied clinical problems within GI endoscopy. …

… to CAD for upper gastrointestinal endoscopy from the … gastric cancer, Kubota et al.14
developed a CAD system using a back-propagation neural network algorithm on endoscopic …

… scenario, artificial intelligence (AI) … endoscopic patterns from UGIE video data. This work
presents a review of the current state-of-the-art algorithms in the application of AI to gastroscopy. …

… been developed which include concepts such as artificial neural … DL involves multiple-layered
neural network algorithms … in gastrointestinal endoscopy such as the Japan Endoscopy …

… (CADe) algorithms. Their role was to … algorithms to pinpoint deviations from “normal” tissue,
presenting them to the interpreter. In GI endoscopy, the processing speed of CAD algorithms …

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

… gastrointestinal endoscopy field involves endoscopic diagnoses and prognostication of
various digestive … A neural network algorithm for detection of GI angiectasia during small-bowel …

… Applications of artificial intelligence techniques, specifically machine learning and more
recently deep learning, are beginning to emerge in gastrointestinal endoscopy. The most …