Gastric cancer (GC) is one of the most common malignant tumors with high mortality.
Accurate diagnosis and treatment decisions for GC rely heavily on human experts' careful …

Early detection of esophageal cancer is limited by accurate endoscopic diagnosis of subtle
macroscopic lesions. Endoscopic interpretation is subject to expertise, diagnostic skill, and …

Gastric cancer is a leading contributor to cancer incidence and mortality globally. Recently,
artificial intelligence approaches, particularly machine learning and deep learning, are …

AIM To comprehensively evaluate the application of AI-assisted endoscopy in detecting
different digestive diseases using bibliometric analysis. METHODS Relevant publications …

Background We previously reported for the first time the usefulness of artificial intelligence
(AI) systems in detecting gastric cancers. However, the “original convolutional neural …

Artificial intelligence (AI) for GI endoscopy is an important and rapidly growing area of
research. Much initial work in AI for endoscopy has focused on detection and optical …

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 …

Artificial intelligence (AI) is rapidly developing in various medical fields, and there is an
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …

Purpose: Gastric cancer remains the leading cause of cancer-related deaths in Northeast
Asia. Population-based endoscopic screenings in the region have yielded successful results …

BACKGROUND: A timely diagnosis of early gastric cancer (EGC) can greatly reduce the
death rate of patients. However, the manual detection of EGC is a costly and low-accuracy …