Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images

RT Sutton, OR Zai͏̈ane, R Goebel, DC Baumgart - Scientific reports, 2022 - nature.com
Endoscopic evaluation to reliably grade disease activity, detect complications including
cancer and verification of mucosal healing are paramount in the care of patients with …

Diagnosis of ulcerative colitis from endoscopic images based on deep learning

X Luo, J Zhang, Z Li, R Yang - Biomedical Signal Processing and Control, 2022 - Elsevier
Aims Evaluating the endoscopic images of patients with ulcerative colitis can effectively
determine a reasonable treatment plan. However, the endoscopic evaluation is usually …

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 …

UC-NfNet: Deep learning-enabled assessment of ulcerative colitis from colonoscopy images

M Turan, F Durmus - Medical Image Analysis, 2022 - Elsevier
Ulcerative colitis (UC) belongs to the inflammatory bowel disease (IBD) family, which is
mainly caused by inflammation of the tissue in the colon and rectum. The severity of this …

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 …

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 …

Fully automated endoscopic disease activity assessment in ulcerative colitis

H Yao, K Najarian, J Gryak, S Bishu, MD Rice… - Gastrointestinal …, 2021 - Elsevier
Background and Aims Endoscopy is essential for disease assessment in ulcerative colitis
(UC), but subjectivity threatens accuracy and precision. We aimed to pilot a fully automated …

[HTML][HTML] Training and deploying a deep learning model for endoscopic severity grading in ulcerative colitis using multicenter clinical trial data

BG Becker, F Arcadu, A Thalhammer… - Therapeutic …, 2021 - ncbi.nlm.nih.gov
Methods: Here we propose an end-to-end fully automated system based on deep learning to
predict a binary version of the Mayo Clinic Endoscopic Subscore directly from raw …

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 …

Deep neural network accurately predicts prognosis of ulcerative colitis using endoscopic images

K Takenaka, K Ohtsuka, T Fujii, S Oshima… - …, 2021 - gastrojournal.org
Deep Neural Network Accurately Predicts Prognosis of Ulcerative Colitis Using Endoscopic
Images - Gastroenterology Skip to Main Content Advertisement Gastroenterology American …