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 …

Background Esophagogastroduodenoscopy (EGD) is a prerequisite for detecting upper
gastrointestinal lesions especially early gastric cancer (EGC). An artificial intelligence …

In recent years, artificial intelligence (AI) has been found to be useful to physicians in the
field of image recognition due to three elements: deep learning (that is, CNN, convolutional …

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

Background and study aims Artificial intelligence (AI)-assisted image classification has been
shown to have high accuracy on endoscopic diagnosis. We evaluated the potential effects of …

This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the
diagnosis and management of gastrointestinal neoplasia within the framework of the …

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

Convolutional neural networks in the field of artificial intelligence show great potential in
image recognition. It assisted endoscopy to improve the detection rate of early gastric …

Gastric cancer is a common cause of death worldwide and its early detection is crucial to
improve its prognosis. Its incidence varies throughout countries, and screening has been …