Objective This study aimed to discuss the application value of an artificial intelligence-based
diagnosis and recognition system (AIDRS) in the teaching activities for Bachelor of Medicine …

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 …

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 …

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

Background and Aims: To investigate the impact of the computer-assisted system on
esophagogastroduodenoscopy (EGD) training for novice trainees in a prospective …

Artificial intelligence (AI) is now a trendy subject in clinical medicine and especially in
gastrointestinal (GI) endoscopy. AI has the potential to improve the quality of GI endoscopy …

Gastroscopy, a critical tool for the diagnosis of upper gastrointestinal diseases, has recently
incorporated artificial intelligence (AI) technology to alleviate the challenges involved in …

Objectives Digestive endoscopy is an important diagnostic and therapeutic tool for digestive
system diseases. The artificial intelligence (AI)-assisted system in endoscopy (hereinafter …

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 …

With the rapid development of science and technology, artificial intelligence (AI) systems are
becoming ubiquitous, and their utility in gastroenteroscopy is beginning to be recognized …