… [2], owing to the decreased incidence of peptic ulcer disease. The use of AI … artificial
intelligence”, “peptic ulcer bleeding”, “nonvariceal bleeding”, “deep learning”, or “machine learning…

… 2 An artificial intelligence ulcer detection system based on the YOLOv7 … bleeding with two
endoscopic examinations; bleeding lesions before and after endoscopic irrigation; and ulcer …

… was recurrent ulcer bleeding. Recurrent ulcer bleeding was defined as any of the bleeding
… or fresh blood per-rectum) together with ulcers confirmed by endoscopy, or a decrease in the …

… with GI bleeding. It could identify patients who had 1-year recurrent ulcer bleeding, with an
… 0.775, especially idiopathic ulcer patients who were at low risk of recurrent ulcer bleeding. …

… First, the only score with an ROC-AUC over 0.8, the GBS was validated only on upper GI
bleeding (primarily ulcer-related in the initial validation). Furthermore, relying on clinical data …

… The main benefit of the application of artificial intelligence … These artificial intelligence
models are expected to aid in the … :52 ratio) and 65 bleeding images and 1617 normal mucosal …

… Enteric ulcers and erosions are frequently found in capsule endoscopy. These lesions are
frequent causes of obscure gastrointestinal bleeding. Artificial intelligence algorithms may …

… a type of artificial intelligence (AI) architecture with high performance in image analysis.
This study aims to develop a CNN model for the identification of colonic ulcers and erosions in …

… Artificial intelligence (AI) is an emerging new technology that affects several aspects of
healthcare. In endoscopy, AI is currently being used to detect lesions during endoscopic …

… bleeding include classifying high risk stigmata in peptic ulcer disease and variceal bleeding,
… By classifying the level of risk for ulcers (eg pigmented spot versus visible vessel), guideline-…