Abstract Background and Objectives In spite of rapid growth of artificial intelligence (AI) in
digestive endoscopy in lesion detection and characterization, the role of AI in inflammatory …

Interest in machine and deep learning is increasing in medicine, and these methods are
poised to revolutionize the way that we treat IBD. Here, we highlight the recent advances in …

The escalating prevalence of gastrointestinal disorders, spanning a spectrum from polyps to
tumors, underscores the imperative for advanced diagnostic and interventional …

Abstract Background Whereas Artificial Intelligence (AI) based tools have recently been
introduced in the field of gastroenterology, application in inflammatory bowel disease (IBD) …

Background Discrimination between patients affected by inflammatory bowel diseases and
healthy controls on the basis of endoscopic imaging is an challenging problem for machine …

Background There has been an increase in the development of both machine learning (ML)
and deep learning (DL) prediction models in Inflammatory Bowel Disease. We aim in this …

Background and aim Artificial intelligence (AI) technology has been increasingly developed
in oral and maxillofacial imaging. The aim of this systematic review was to assess the …

The number of patients with inflammatory bowel disease (IBD) has been increasing. The
diagnosis is a difficult task for the gastroenterologist performing the endoscopic examination …

Ulcerative colitis (UC) is a persistent inflammatory intestinal disease that consistently affects
the colon and rectum. Its exact cause remains unknown. UC causes a considerable …

Interest in artificial intelligence (AI) applications for ulcerative colitis (UC) has grown
tremendously in recent years. In the past 5 years, there have been over 80 studies focused …