Screening endoscopy has advanced to facilitate improvements in the detection and
prognosis of gastric cancer. However, most early gastric cancers (EGCs) have subtle …

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 …

Background Diagnosis of early gastric cancer (EGC) under narrow band imaging endoscopy
(NBI) is dependent on expertise and skills. We aimed to elucidate whether artificial …

Gastric adenocarcinoma develops after stepwise progression from normal mucosa through
to adenocarcinoma most commonly after being triggered by Helicobacter pylori (H. pylori) …

The landscape of gastrointestinal endoscopy continues to evolve as new technologies and
techniques become available. The advent of image-enhanced and magnifying endoscopies …

Objectives Early gastric cancers (EGCs) of the elevated type or with submucosal invasion
are easily found by routine endoscopy. However, most early cancers are challenging to …

Background Observation of the entire stomach during esophagogastroduodenoscopy (EGD)
is important; however, there is a lack of effective evaluation tools. Aims To develop an …

Background and study aims Esophagogastroduodenoscopy (EGD) has utility in early
detection of upper gastrointestinal (UGI) neoplasms. However, previous studies report …

Objectives The introduction of artificial intelligence into the medical field has improved the
diagnostic capabilities of physicians. However, few studies have analyzed the economic …

Background and aims Gastric superficial neoplasia (GSN) is often overlooked at endoscopy
because of difficulty in identifying it. The miss rate of GSN at endoscopy and the impact on …