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

Background In many countries, gastric cancer is not diagnosed until an advanced stage. An
Internet-based e-learning system to improve the ability of endoscopists to diagnose gastric …

Simple Summary We previously constructed a VGG-16-based artificial intelligence (AI)
model (image classifier [IC]) to predict the invasion depth in early gastric cancer (EGC) using …

Background and Aims Artificial intelligence (AI), specifically deep learning, offers the
potential to enhance the field of GI endoscopy in areas ranging from lesion detection and …

Integrating artificial intelligence (AI) into gastrointestinal (GI) endoscopy heralds a significant
leap forward in managing GI disorders. AI-enabled applications, such as computer-aided …

Recent advances in artificial intelligence (AI) have provided novel tools for rapid and precise
pathologic diagnosis. The introduction of digital pathology has enabled the acquisition of …

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 …

Background and Aims The prognosis of esophageal cancer is relatively poor. Patients are
usually diagnosed at an advanced stage when it is often too late for effective treatment …

Background The diagnosis of gastric cancer mainly relies on endoscopy, which is invasive
and costly. The aim of this study is to develop a predictive model for the diagnosis of gastric …

Background and Aims Narrow-band imaging with magnifying endoscopy (ME-NBI) has
shown advantages in the diagnosis of early gastric cancer (EGC). However, proficiency in …