AIMC Topic: Colitis, Ulcerative
Clear Filters Showing 71 to 80 of 82 articles
Application of Deep Learning Models to Improve Ulcerative Colitis Endoscopic Disease Activity Scoring Under Multiple Scoring Systems.
Journal of Crohn's & colitis
Apr 19, 2023
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 ulcerative colitis [UC]. We developed a deep learning [DL] model to improve,...
Utilizing Deep Learning to Analyze Whole Slide Images of Colonic Biopsies for Associations Between Eosinophil Density and Clinicopathologic Features in Active Ulcerative Colitis.
Inflammatory bowel diseases
Mar 30, 2022
BACKGROUND: Eosinophils have been implicated in the pathogenesis of ulcerative colitis and have been associated with disease course and therapeutic response. However, associations between eosinophil density, histologic activity, and clinical features...
Accurate diagnosis of endoscopic mucosal healing in ulcerative colitis using deep learning and machine learning.
Journal of the Chinese Medical Association : JCMA
Jul 1, 2021
BACKGROUND: In clinical applications, mucosal healing is a therapeutic goal in patients with ulcerative colitis (UC). Endoscopic remission is associated with lower rates of colectomy, relapse, hospitalization, and colorectal cancer. Differentiation o...
Deep learning enabled classification of Mayo endoscopic subscore in patients with ulcerative colitis.
European journal of gastroenterology & hepatology
May 1, 2021
OBJECTIVE: Previous reports of deep learning-assisted assessment of Mayo endoscopic subscore (MES) in ulcerative colitis have only explored the ability to distinguish disease remission (MES 0/1) from severe disease (MES 2/3) or inactive disease (MES ...
Developing a Neural Network Model for a Non-invasive Prediction of Histologic Activity in Inflammatory Bowel Diseases.
The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology
Mar 1, 2021
BACKGROUND: Colonoscopy with biopsy is the "gold" standard for evaluating disease activity in inflammatory bowel diseases (IBD). Current research is geared toward finding non-invasive, cost-efficient methods that estimate disease activity. We aimed t...
New perspectives in the prediction of postoperative complications for high-risk ulcerative colitis patients: machine learning preliminary approach.
European review for medical and pharmacological sciences
Dec 1, 2020
OBJECTIVE: Patients with acute severe and medical refractory ulcerative colitis have a high risk of postoperative complications after total abdominal colectomy (TAC). The objective of this retrospective study is to use machine learning to analyze and...
Artificial intelligence in inflammatory bowel disease: current status and opportunities.
Chinese medical journal
Apr 5, 2020
A probabilistic pathway score (PROPS) for classification with applications to inflammatory bowel disease.
Bioinformatics (Oxford, England)
Mar 15, 2018
SUMMARY: Gene-based supervised machine learning classification models have been widely used to differentiate disease states, predict disease progression and determine effective treatment options. However, many of these classifiers are sensitive to no...
Dosing interval and diagnosis predict infliximab levels in patients with inflammatory bowel disease on maintenance treatment.
Acta gastro-enterologica Belgica
Jan 1, 2018
OBJECTIVE: The aim of the study was to identify factors influencing infliximab (IFX) trough levels (TL) in patients with inflammatory bowel disease (IBD).
Assessment of disease activity by fecal immunochemical test in ulcerative colitis.
World journal of gastroenterology
Dec 28, 2016
AIM: To evaluate the efficacy of quantitative fecal immunochemical test (FIT) as biomarker of disease activity in ulcerative colitis (UC).
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