Simple Summary In recent years, there has been an exponential rise in artificial intelligence-
based technology. Artificial intelligence has been applied to several medical disciplines …

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

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 …

An introduction is presented in which the editor talks about the topics discussed within the
issue including artificial intelligence (AI) for endoscopy, polyp detecting system from the …

Early detection of esophageal cancer is limited by accurate endoscopic diagnosis of subtle
macroscopic lesions. Endoscopic interpretation is subject to expertise, diagnostic skill, and …

Colonoscopy is an effective screening procedure in colorectal cancer prevention programs;
however, colonoscopy practice can vary in terms of lesion detection, classification, and …

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 …

Artificial intelligence (AI) is an umbrella term used to describe a cluster of interrelated fields.
Machine learning (ML) refers to a model that learns from past data to predict future data …

With the inter and multi-disciplinary collaboration of the medical community with
technologists in conjunction with a disproportionately alarming doctor-patient ratio, it has …

The early endoscopic identification, resection, and treatment of precancerous adenoma and
early-stage cancer has been shown to reduce not only the prevalence of colorectal cancer …