Upper gastrointestinal (GI) cancers are the leading cause of cancer-related deaths
worldwide. Early identification of precancerous lesions has been shown to minimize the …

Background and study aims Recently, a growing body of evidence has been amassed on
evaluation of artificial intelligence (AI) known as deep learning in computer-aided diagnosis …

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 …

Objective The aim of this study was to assess the diagnostic ability of artificial intelligence
(AI) in the detection of early upper gastrointestinal cancer (EUGIC) using endoscopic …

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

Diagnosis and evaluation of early gastric cancer (EGC) using endoscopic images is
significantly important; however, it has some limitations. In several studies, the application of …

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 Detecting early gastric cancer is difficult, and it may even be overlooked by
experienced endoscopists. Recently, artificial intelligence based on deep learning through …

Gastrointestinal cancers are characterized by high incidence and mortality. However, there
are well-established methods of screening. The endoscopy exam provides the …

Background: Gastric cancer (GC), a significant health burden worldwide, is typically
diagnosed in the advanced stages due to its non-specific symptoms and complex …