Background and Aims One-fourth of colorectal neoplasia are missed at screening
colonoscopy, representing the main cause of interval colorectal cancer. Deep learning …

Improvements in disease management, as well as endoscopic technology and quality, have
dramatically changed the way in which we conceptualize and manage inflammatory bowel …

ESGE recommends that the evaluation of superficial gastrointestinal (GI) lesions should be
made by an experienced endoscopist, using high definition white-light and …

Abstract Background & Aims Artificial intelligence (AI) may detect colorectal polyps that have
been missed due to perceptual pitfalls. By reducing such miss rate, AI may increase the …

Identifying polyps is challenging for automatic analysis of endoscopic images in computer-
aided clinical support systems. Models based on convolutional networks (CNN) …

The following recommendations for post-polypectomy colonoscopic surveillance apply to all
patients who had one or more polyps that were completely removed during a high quality …

Background and aims Artificial intelligence has been shown to increase adenoma detection
rate (ADR) as the main surrogate outcome parameter of colonoscopy quality. To which …

Climate change and the destruction of ecosystems by human activities are among the
greatest challenges of the 21st century and require urgent action. Health care activities …

The development of artificial intelligence (AI) algorithms has permeated the medical field
with great success. The widespread use of AI technology in diagnosing and treating several …

Background and Aims Artificial intelligence (AI)–assisted colonoscopy improves polyp
detection and characterization in colonoscopy. However, data from large-scale multicenter …