Background Artificial intelligence-assisted gastroscopy (AIAG) based on deep learning has
been validated in various scenarios, but there is a lack of studies regarding diagnosing …

Background Misdiagnosis and missed diagnosis of gastric lesions under white-light
endoscopy (WLE) are common. We constructed an artificial intelligence (AI) system for …

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 …

White light endoscopy is the most pivotal tool for detecting early gastric neoplasms. Previous
artificial intelligence (AI) systems were primarily unexplainable, affecting their clinical …

Background and Aims White-light endoscopy (WLE) is the most pivotal tool to detect gastric
cancer in an early stage. However, the skill among endoscopists varies greatly. Here, we …

Background White light endoscopy is a pivotal first-line tool for the detection of gastric
neoplasms. However, gastric neoplasms can be missed during upper gastrointestinal …

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 …

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

Background Upper gastrointestinal cancers (including oesophageal cancer and gastric
cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep …

Background The purpose of this paper is to develop and validate a standardized
endoscopist acceptance scale for the implementation of artificial intelligence (AI) in …