Ulcerative Colitis (UC) is a chronic inflammatory bowel disease decreasing life quality
through symptoms such as bloody diarrhoea and abdominal pain. Endoscopy is a …

Background and study aims Scoring endoscopic disease activity in colitis represents a
complex task for artificial intelligence (AI), but is seen as a worthwhile goal for clinical and …

Objective Previous reports of deep learning-assisted assessment of Mayo endoscopic
subscore (MES) in ulcerative colitis have only explored the ability to distinguish disease …

Background Evaluation of endoscopic disease severity is a key component in the
management of ulcerative colitis (UC) patients. However, endoscopic assessment suffers …

Background Multi-layered convolutional neural networks are artificial intelligence (AI)
algorithms that allow to process specific datasets. Endoscopic mayo score (EMS) is an …

Abstract Background and Aims Lack of clinical validation and inter-observer variability are
two limitations of endoscopic assessment and scoring of disease severity in patients with …

Background: The ulcerative colitis (UC) Mayo endoscopy score is a useful tool for evaluating
the severity of UC in patients in clinical practice. Objectives: We aimed to develop and …

Introduction: The Mayo Clinic Endoscopic Subscore is a commonly used grading system to
assess the severity of ulcerative colitis. Correctly grading colonoscopies using the Mayo …

Background Computer vision & deep learning (DL) to assess & help with tissue
characterization of disease activity in Ulcerative Colitis (UC) through Mayo Endoscopic …

Background Assessment of endoscopic activity in ulcerative colitis (UC) is important for
treatment decisions and monitoring disease progress. However, substantial inter-and …