Gastric cancer is the third leading cause of cancer death worldwide. Early detection and
accurate diagnosis of mucosal cancer is desirable in order to achieve decreased mortality; …

Objective This study aims to systematically review the application of artificial intelligence (AI)
techniques in gastric cancer and to discuss the potential limitations and future directions of …

Abstract Background and Aim Magnifying endoscopy with narrow‐band imaging (ME‐NBI)
has made a huge contribution to clinical practice. However, acquiring skill at ME‐NBI …

Background and Aims It is necessary to establish cost-effective examinations and treatments
for diminutive colorectal tumors that consider the treatment risk and surveillance interval …

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 …

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 …

With recent breakthroughs in artificial intelligence, computer‐aided diagnosis (CAD) for
upper gastrointestinal endoscopy is gaining increasing attention. Main research focuses in …

Minimally invasive medicine has become mainstream because of its crucial clinical
significance in providing a low risk of postoperative complications, limited blood loss, short …

The usefulness of flexible spectral imaging color enhancement (FICE) has been reported for
evaluating the esophagus, stomach, and small and large intestine. Higher contrast is shown …

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