Background Artificial intelligence (AI) for gastric cancer diagnosis has been discussed in
recent years. The role of AI in early gastric cancer is more important than in advanced gastric …

Applications of artificial intelligence (AI) and machine learning (ML) in medicine are far-
reaching and advancing rapidly. 1 In gastroenterology, AI and, more specifically, ML have …

In the past few years, we have seen a surge in the development of relevant artificial
intelligence (AI) algorithms addressing a variety of needs in GI endoscopy. To accept AI …

The clinical application of a real-time artificial intelligence (AI) image processing system to
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …

Objectives Endoscopists' abilities to diagnose early gastric cancers (EGCs) vary, especially
between specialists and nonspecialists. We developed an artificial intelligence (AI)‐based …

Background The endoscopic diagnosis of Helicobacter-pylori (H. pylori) infection and gastric
precancerous lesions (GPL), namely atrophic-gastritis and intestinal-metaplasia, still …

Background Estimates on miss rates for upper gastrointestinal neoplasia (UGIN) rely on
registry data or old studies. Quality assurance programs for upper GI endoscopy are not fully …

Background and study aims Artificial intelligence (AI)-assisted image classification has been
shown to have high accuracy on endoscopic diagnosis. We evaluated the potential effects of …

Gastric cancer is a common cause of death worldwide and its early detection is crucial to
improve its prognosis. Its incidence varies throughout countries, and screening has been …

Background and aims With the potential integration of artificial intelligence (AI) into clinical
practice, it is essential to understand end users' perception of this novel technology. The aim …