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

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 …

Globally, gastric cancer is the third leading cause of death from tumors. Prevention and
individualized treatment are considered to be the best options for reducing the mortality rate …

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 …

Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a
5-year survival rate of less than 40%. In recent years, several applications of artificial …

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 …

Objectives Artificial intelligence (AI) uses deep learning functionalities that may enhance the
detection of early gastric cancer during endoscopy. An AI‐based endoscopic system for …

Aims To compare endoscopy gastric cancer images diagnosis rate between artificial
intelligence (AI) and expert endoscopists. Patients and methods We used the retrospective …

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