Objectives Esophagogastroduodenoscopy (EGD) is considered a very effective method to
identify gastric cancer (GC). However, the existence of missed lesions has been frequently …

Survival rates for upper gastrointestinal cancers are poor and oesophageal cancer
incidence is increasing. Upper gastrointestinal cancer is also often missed during …

Background Image recognition using artificial intelligence with deep learning through
convolutional neural networks (CNNs) has dramatically improved and been increasingly …

The Japan Gastroenterological Endoscopy Society developed the Guideline for Endoscopic
Diagnosis of Early Gastric Cancer based on scientific methods. Endoscopy for the diagnosis …

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

Background: Linked color imaging (LCI) is a new image-enhanced endoscopy technique
that allows users to recognize slight differences in mucosal color. Objective: To compare the …

Background and study aims: Upper gastrointestinal (UGI) cancer in the Western world
usually presents at an advanced stage, when opportunities for curative therapy are limited …

Background and Aims Blue laser imaging-bright (BLI-bright) has shown promise as a more
useful tool for detection of early gastric cancer (EGC) than white-light imaging (WLI) …

Abstract Originally proposed by John McCarthy in 1955, artificial intelligence (AI) has
achieved a breakthrough and revolutionized the processing methods of clinical medicine …

Gastrointestinal endoscopy is widely conducted for the early detection of gastric cancer.
However, it is often difficult to detect early gastric cancer lesions and accurately evaluate the …