… gastroenterology, potentially led by professional societies, will be required so the field of GI
endoscopy can develop … safety and efficacy monitoring that will be required for AI algorithms. …

… of endoscopic diagnosis and to … algorithms makes adoption of artificial intelligence into
global practice a potential reality. Initial studies in luminal endoscopy involve machine learning …

… There is no doubt that the application of AI algorithms in digestive endoscopy has made
remarkable progress. However, some of the studies or databases published in the past decade …

… Upper gastrointestinal endoscopy is still the gold standard … current upper gastrointestinal
endoscopy diagnosis technology … algorithm was developed and tested using 100 endoscopic …

… algorithm. ML has advanced into what is now commonly known as DL, which is composed of
algorithms to create an artificial neural network … in gastroenterology and endoscopy (Fig. 1). …

… algorithm driven by a 3-D convolutional neural network predicted the presence of the polyp
by outputting a yellow color in the four corners of the endoscopic image. … Another endoscopic …

… (DCNN) approaches, including colorectal adenoma detection, early gastric cancer diagnosis…
, was developed in this study for detecting endoscopic images of gastric precancerous …

… Although initial important steps along the AI-road have been taken by initiating the first
prospective studies on AI-assisted endoscopy, several problems related to AI-algorithms are …

… to use AI technology to train algorithms on capsule endoscopy images or videos, in order to
… from the Hellenic Society of Gastroenterology for education in gastrointestinal endoscopy. …

… GI detection datasets are considered multiclass image or video datasets in GI endoscopy. It
… abundant data for automatic algorithmic detection of many aspects of the GI tract, which is …