… it in digestive endoscopy. Among them, … digestive endoscopy, the 5G deep learning edge
algorithm in this paper improves the accuracy by 68% compared with the simple Yolo algorithm…

… endoscopic image dataset and AI algorithm We collected 23 892 white-light upper gastrointestinal
endoscopy … 985 invasive gastric cancer images from 51 patients and 549 early gastric …

… combining elements of artificial intelligence, computer vision, … A CAD algorithm would be a
valuable asset with regard to … of this study was to develop a CAD algorithm for the purpose of …

… to develop other useful methods in GI endoscopy, including the reconstruction of the GI tract
… with currently accessible databases to develop robust and reliable AI algorithms?, and (iii) …

… artificial intelligence, and for that matter all intelligence, is “fundamentally situational”. A
computer algorithm's intelligence in the endoscopic … with applying that algorithm to analyze the …

… (ML) techniques have been emerging in endoscopic image … , AI has been widely applied to
gastrointestinal endoscopy. … tree algorithm, a preventive measure guide was developed, and …

… In summary, deep-learning algorithms show high potential in the detection of stomach
cancer and its precursor lesions. Most of the research to date is preclinical. First clinical results …

… growth of artificial intelligence (AI) in digestive endoscopy in … bowel disease (IBD) endoscopy
is not clearly defined. We … for the development of IBD endoscopy–specific AI algorithms …

… The European Society of Gastrointestinal Endoscopy (… developed to aid in SBCE reading.
There have been studies on the suspected bleeding indicator (SBI), which detected obscure GI …

… Gastrointestinal Endoscopy 2 suggest that optical diagnosis of diminutive polyps using advanced
endoscopic … by distance (d), and our algorithm analyzed 3 different distances (d = 2, 5, 8…