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 …

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

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

Burden of inflammation is a key prognostic factor that defines disease severity in ulcerative
colitis (UC). 1 Historically, endoscopic scoring indices like the Mayo endoscopy score (MES) …

ABSTRACT Background and Aims Assessment and scoring of histological images in
Ulcerative colitis (UC) is prone to inter‐and intra‐observer variability. This study aimed to …

Background and Aims Endoscopic assessment of ulcerative colitis (UC) can be performed
by using the Mayo Endoscopic Score (MES) or the Ulcerative Colitis Endoscopic Index of …

As a secondary outcome, the study explored the ability of the models to predict the
underlying histological activity. The two systems showed diagnostic accuracies of around …

Abstract Backgrounds and Aims The Mayo endoscopic subscore (MES) is the most popular
endoscopic disease activity measure of ulcerative colitis (UC). Artificial intelligence (AI) …

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