AIMC Topic: Celiac Disease

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Physician Review of a Celiac Disease Risk Estimation and Decision-Making Expert System.

Journal of the American College of Nutrition May 7, 2019
Celiac disease is a genetic disease affecting people of all ages, resulting in small intestine enteropathy. It is considered to be a clinical chameleon. Average prevalence of celiac disease is 1 out of 100 people with data indicating the risk may be...
Humans Decision Making Autoantibodies Biopsy Reproducibility of Results Risk Factors Physicians Expert Systems Celiac Disease
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Versatility of fuzzy logic in chronic diseases: A review.

Medical hypotheses Nov 27, 2018
The review aims at providing current state of evidence in the field of medicine with fuzzy logic for diagnosing diseases. Literature reveals that fuzzy logic has been used effectively in medicine. Different types of methodologies have been applied to...
Chronic Disease Biopsy Fuzzy Logic Software Celiac Disease Algorithms Normal Distribution Diabetes Mellitus Humans Neural Networks, Computer
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Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis.

Computers in biology and medicine Apr 27, 2018
A large amount of digital image material is routinely captured during esophagogastroduodenoscopies but, for the most part, is not used for confirming the diagnosis process of celiac disease which is primarily based on histological examination of biop...
Observer Variation Automation Gastroscopy Humans Celiac Disease Neural Networks, Computer Endoscopy Pattern Recognition, Automated Decision Making Diagnosis, Computer-Assisted Biopsy Image Processing, Computer-Assisted Deep Learning Machine Learning Image Interpretation, Computer-Assisted Duodenum Algorithms
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Machine Learning in Detection of Undiagnosed Celiac Disease.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Dec 16, 2017
Celiac Disease Machine Learning Male Female Diagnostic Tests, Routine Humans
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Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method.

Computers in biology and medicine Apr 8, 2017
BACKGROUND: Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an alternative way to visualize the entire small intestine without invasiveness to the patient. It is useful to characterize celiac disease, but hours ar...
Capsule Endoscopy Machine Learning Celiac Disease Humans Algorithms Neural Networks, Computer Image Interpretation, Computer-Assisted
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A Deep Learning-Based Approach to Estimate Paneth Cell Granule Area in Celiac Disease.

Archives of pathology & laboratory medicine Jul 1, 2024
CONTEXT.—: Changes in Paneth cell numbers can be associated with chronic inflammatory diseases of the gastrointestinal tract. So far, no consensus has been achieved on the number of Paneth cells and their relevance to celiac disease (CD).
Female Adult Male Humans Biopsy Celiac Disease Deep Learning Paneth Cells Case-Control Studies Duodenum
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Artificial Intelligence-based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection.

Journal of pediatric gastroenterology and nutrition Jun 1, 2021
OBJECTIVES: Striking histopathological overlap between distinct but related conditions poses a disease diagnostic challenge. There is a major clinical need to develop computational methods enabling clinicians to translate heterogeneous biomedical ima...
Celiac Disease Male Child, Preschool Image Processing, Computer-Assisted Humans Biopsy Neural Networks, Computer Artificial Intelligence Child
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Overview of Deep Learning in Gastrointestinal Endoscopy.

Gut and liver Jan 11, 2019
Artificial intelligence is likely to perform several roles currently performed by humans, and the adoption of artificial intelligence-based medicine in gastroenterology practice is expected in the near future. Medical image-based diagnoses, such as p...
Endoscopy, Digestive System Intestinal Polyps Celiac Disease Hookworm Infections Endoscopy, Gastrointestinal Helicobacter Infections Capsule Endoscopy Gastrointestinal Motility Colonic Polyps Colonoscopy Diagnosis, Computer-Assisted Humans Deep Learning Stomach Neoplasms Gastroenterology
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