AIM To compare the Glasgow-Blatchford score (GBS), Rockall score (RS) and Baylor
bleeding score (BBS) in predicting clinical outcomes and need for interventions in patients …

With recent significant improvements in artificial intelligence (AI), especially in the field of
deep learning, an increasing number of studies have evaluated the use of AI in endoscopy …

Abstract Purpose of Review Recently numerous researchers have shown remarkable
progress using convolutional neural network-based artificial intelligence (AI) for endoscopy …

Background and Aims Computer-aided detection (CADe) has been shown to improve polyp
detection in clinical trials. Limited data exist on the impact, utilization, and attitudes toward …

Background and Objectives: Device-assisted enteroscopy (DAE) has a significant role in
approaching enteric lesions. Endoscopic observation of ulcers or erosions is frequent and …

Colonoscopy is an important method to diagnose polyps, especially adenomatous polyps.
However, the rate of missed diagnoses is relatively high. In this study, we aimed to …

Background and study aims Artificial intelligence (AI) in gastrointestinal endoscopy is
developing very fast. Computer-aided detection of polyps and computer-aided diagnosis …

Endoscopy is one of the cornerstones in the field of gastroenterology. The original fiberoptic
endoscope was developed in the 1950s. From this point in time and decade after decade …

Inflammatory bowel disease (IBD), with its 2 subtypes, Crohn's disease and ulcerative colitis,
is a complex chronic condition. A precise definition of disease activity and appropriate drug …

Artificial intelligence (AI) based on deep learning boosted medical research in the past years
and is expected to enormously change the style of health care in many aspects in the …