Objective Artificial intelligence (AI) may reduce underdiagnosed or overlooked upper GI
(UGI) neoplastic and preneoplastic conditions, due to subtle appearance and low disease …

Background and Aims Artificial intelligence (AI)-assisted detection is increasingly used in
upper endoscopy. We performed a meta-analysis to determine the diagnostic accuracy of AI …

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 …

Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …

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 …

Background: Over the past decade, several artificial intelligence (AI) systems are developed
to assist in endoscopic assessment of (pre-) cancerous lesions of the gastrointestinal (GI) …

Background & Aims: Gastric cancer is the common malignancies from cancer worldwide.
Endoscopy is currently the most effective method to detect early gastric cancer (EGC) …

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

Objective To investigate systematically previous studies on the accuracy of artificial
intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on …

Background Upper gastrointestinal cancers (including oesophageal cancer and gastric
cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep …