Background and Aims The use of artificial intelligence (AI) during colonoscopy is attracting
attention as an endoscopist-independent tool to predict histologic disease activity of …

Introduction Diagnosis and therapeutic management in ulcerative colitis (UC) relies on a
combination of endoscopic and histological scorings which are difficult to objectively …

Background and Aims Image-enhanced endoscopy has attracted attention as a method for
detecting inflammation and predicting outcomes in patients with ulcerative colitis (UC); …

Background and Aims Evaluation of endoscopic disease activity for patients with ulcerative
colitis (UC) is important when determining the treatment of choice. However, endoscopists …

The relevance of endoscopic monitoring of ulcerative colitis (UC) has been translated into
the new concept of “mucosal healing (MH)” as the therapeutic goal to achieve because a …

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 …

Background Endoscopic and histological remission (ER, HR) are therapeutic targets in
ulcerative colitis (UC). Virtual chromoendoscopy (VCE) improves endoscopic assessment …

Introduction: Since the advent of artificial intelligence (AI) in clinical studies, luminal
gastrointestinal endoscopy has made great progress, especially in the detection and …

Background & Aims Microscopic inflammation has significant prognostic value in ulcerative
colitis (UC); however, its assessment is complex with high interobserver variability. We …

Abstract Backgrounds and Aims Mucosal healing (MH) in inflammatory bowel diseases
(IBD) is an important landmark for clinical decision making. Artificial intelligence systems (AI) …