Improving the computer-aided estimation of ulcerative colitis severity according to mayo endoscopic score by using regression-based deep learning

G Polat, HT Kani, I Ergenc… - Inflammatory Bowel …, 2023 - academic.oup.com
Background Assessment of endoscopic activity in ulcerative colitis (UC) is important for
treatment decisions and monitoring disease progress. However, substantial inter-and …

Application of deep learning models to improve ulcerative colitis endoscopic disease activity scoring under multiple scoring systems

MF Byrne, R Panaccione, JE East… - Journal of Crohn's …, 2023 - academic.oup.com
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 …

Application of deep learning in the diagnosis and evaluation of ulcerative colitis disease severity

X Jiang, X Luo, Q Nan, Y Ye… - Therapeutic Advances …, 2023 - journals.sagepub.com
Background: Achieving endoscopic and histological remission is a critical treatment
objective in ulcerative colitis (UC). Nevertheless, interobserver variability can significantly …

Diagnostic accuracy of convolutional neural network–based machine learning algorithms in endoscopic severity prediction of ulcerative colitis: a systematic review …

V Jahagirdar, J Bapaye, S Chandan, S Ponnada… - Gastrointestinal …, 2023 - Elsevier
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 …

Development and validation of a deep learning-based approach to predict the Mayo endoscopic score of ulcerative colitis

J Qi, G Ruan, Y Ping, Z Xiao, K Liu… - Therapeutic …, 2023 - journals.sagepub.com
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 …

Novel computer-assisted diagnosis system for endoscopic disease activity in patients with ulcerative colitis

T Ozawa, S Ishihara, M Fujishiro, H Saito… - Gastrointestinal …, 2019 - Elsevier
Background and Aims Evaluation of endoscopic disease activity for patients with ulcerative
colitis (UC) is important when determining the treatment of choice. However, endoscopists …

Deep learning enabled classification of Mayo endoscopic subscore in patients with ulcerative colitis

HP Bhambhvani, A Zamora - European Journal of …, 2021 - journals.lww.com
Objective Previous reports of deep learning-assisted assessment of Mayo endoscopic
subscore (MES) in ulcerative colitis have only explored the ability to distinguish disease …

Performance of a deep learning model vs human reviewers in grading endoscopic disease severity of patients with ulcerative colitis

RW Stidham, W Liu, S Bishu, MD Rice… - JAMA network …, 2019 - jamanetwork.com
Importance Assessing endoscopic disease severity in ulcerative colitis (UC) is a key element
in determining therapeutic response, but its use in clinical practice is limited by the …

Development and validation of a deep neural network for accurate evaluation of endoscopic images from patients with ulcerative colitis

K Takenaka, K Ohtsuka, T Fujii, M Negi, K Suzuki… - Gastroenterology, 2020 - Elsevier
Background & Aims There are intra-and interobserver variations in endoscopic assessment
of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We …

Artificial intelligence quantifying endoscopic severity of ulcerative colitis in gradation scale

K Takabayashi, T Kobayashi, K Matsuoka… - Digestive …, 2024 - Wiley Online Library
Objectives Existing endoscopic scores for ulcerative colitis (UC) objectively categorize
disease severity based on the presence or absence of endoscopic findings; therefore, it may …