AIMC Topic: Celiac Disease
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A machine learning tool for early identification of celiac disease autoimmunity.
Scientific reports
Dec 28, 2024
Identifying which patients should undergo serologic screening for celiac disease (CD) may help diagnose patients who otherwise often experience diagnostic delays or remain undiagnosed. Using anonymized outpatient data from the electronic medical reco...
Rapid diagnosis of celiac disease based on plasma Raman spectroscopy combined with deep learning.
Scientific reports
Jul 1, 2024
Celiac Disease (CD) is a primary malabsorption syndrome resulting from the interplay of genetic, immune, and dietary factors. CD negatively impacts daily activities and may lead to conditions such as osteoporosis, malignancies in the small intestine,...
Resolution-based distillation for efficient histology image classification.
Artificial intelligence in medicine
Aug 6, 2021
Developing deep learning models to analyze histology images has been computationally challenging, as the massive size of the images causes excessive strain on all parts of the computing pipeline. This paper proposes a novel deep learning-based method...
Precision medicine and machine learning towards the prediction of the outcome of potential celiac disease.
Scientific reports
Mar 11, 2021
Potential Celiac Patients (PCD) bear the Celiac Disease (CD) genetic predisposition, a significant production of antihuman transglutaminase antibodies, but no morphological changes in the small bowel mucosa. A minority of patients (17%) showed clinic...
Machine Learning Analysis of Naïve B-Cell Receptor Repertoires Stratifies Celiac Disease Patients and Controls.
Frontiers in immunology
Mar 10, 2021
Celiac disease (CeD) is a common autoimmune disorder caused by an abnormal immune response to dietary gluten proteins. The disease has high heritability. HLA is the major susceptibility factor, and the HLA effect is mediated via presentation of deami...
Classification of intestinal T-cell receptor repertoires using machine learning methods can identify patients with coeliac disease regardless of dietary gluten status.
The Journal of pathology
Jan 6, 2021
In coeliac disease (CeD), immune-mediated small intestinal damage is precipitated by gluten, leading to variable symptoms and complications, occasionally including aggressive T-cell lymphoma. Diagnosis, based primarily on histopathological examinatio...
Artificial intelligence in celiac disease.
Computers in biology and medicine
Sep 17, 2020
Celiac disease (CD) has been on the rise in the world and a large part of it remains undiagnosed. Novel methods are required to address the gaps in prompt detection and management. Artificial intelligence (AI) has seen an exponential surge in the las...
Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction.
Computer methods and programs in biomedicine
Nov 20, 2019
BACKGROUND AND OBJECTIVE: Videocapsule endoscopy (VCE) is a relatively new technique for evaluating the presence of villous atrophy in celiac disease patients. The diagnostic analysis of video frames is currently time-consuming and tedious. Recently,...
Light
Video Recording
Image Interpretation, Computer-Assisted
Capsule Endoscopy
Celiac Disease
Linear Models
Calibration
Image Processing, Computer-Assisted
Support Vector Machine
Intestinal Mucosa
Discriminant Analysis
Machine Learning
Sensitivity and Specificity
Reproducibility of Results
Algorithms
Diagnosis, Computer-Assisted
Endoscopy
Humans
Deep Learning
Automatic classification of IgA endomysial antibody test for celiac disease: a new method deploying machine learning.
Scientific reports
Jun 25, 2019
Widespread use of endomysial autoantibody (EmA) test in diagnostics of celiac disease is limited due to its subjectivity and its requirement of an expert evaluator. The study aimed to determine whether machine learning can be applied to create a new ...
Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children.
JAMA network open
Jun 5, 2019
IMPORTANCE: Duodenal biopsies from children with enteropathies associated with undernutrition, such as environmental enteropathy (EE) and celiac disease (CD), display significant histopathological overlap.
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