AIMC Topic: Intestine, Small

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Performance of a convolutional neural network for automatic detection of blood and hematic residues in small bowel lumen.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Feb 23, 2021
Capsule Endoscopy Gastrointestinal Hemorrhage Intestine, Small Neural Networks, Computer ROC Curve Humans
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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...
Celiac Disease Diet, Gluten-Free Receptors, Antigen, T-Cell, gamma-delta Middle Aged Intestine, Small Humans Machine Learning Adult Male Female
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Artificial intelligence and deep learning for small bowel capsule endoscopy.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Dec 27, 2020
Capsule endoscopy is ideally suited to artificial intelligence-based interpretation given its reliance on pattern recognition in still images. Time saving viewing modes and lesion detection features currently available rely on machine learning algori...
Humans Deep Learning Capsule Endoscopy Intestine, Small Artificial Intelligence Machine Learning
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Quantifying drug tissue biodistribution by integrating high content screening with deep-learning analysis.

Scientific reports Sep 1, 2020
Quantitatively determining in vivo achievable drug concentrations in targeted organs of animal models and subsequent target engagement confirmation is a challenge to drug discovery and translation due to lack of bioassay technologies that can discrim...
Fluorescent Dyes Cadherins High-Throughput Screening Assays Image Processing, Computer-Assisted Mice Tissue Distribution Immunoconjugates Intestine, Small Carbocyanines Animals Drug Discovery Deep Learning Colon
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Improved classification and localization approach to small bowel capsule endoscopy using convolutional neural network.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Aug 31, 2020
BACKGROUND: Although great advances in artificial intelligence for interpreting small bowel capsule endoscopy (SBCE) images have been made in recent years, its practical use is still limited. The aim of this study was to develop a more practical conv...
Intestine, Small Artificial Intelligence Deep Learning Capsule Endoscopy Humans Neural Networks, Computer
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Capsule robot for gut microbiota sampling using shape memory alloy spring.

The international journal of medical robotics + computer assisted surgery : MRCAS Aug 14, 2020
BACKGROUND: Human gut microbiota can provide lifelong health information and even influence mood and behaviour. We currently lack the tools to obtain a microbial sample, directly from the small intestine, without contamination.
Animals Gastrointestinal Microbiome Intestine, Small Robotics Shape Memory Alloys Humans
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Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-based system: a multicenter study.

Gastrointestinal endoscopy May 15, 2020
BACKGROUND AND AIMS: A deep convolutional neural network (CNN) system could be a high-level screening tool for capsule endoscopy (CE) reading but has not been established for targeting various abnormalities. We aimed to develop a CNN-based system and...
Capsule Endoscopy Intestine, Small Humans Neural Networks, Computer Deep Learning
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Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network.

Gastrointestinal endoscopy Feb 19, 2020
BACKGROUND AND AIMS: Protruding lesions of the small bowel vary in wireless capsule endoscopy (WCE) images, and their automatic detection may be difficult. We aimed to develop and test a deep learning-based system to automatically detect protruding l...
Deep Learning ROC Curve Intestine, Small Capsule Endoscopy Humans Neural Networks, Computer
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Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network.

Journal of gastroenterology and hepatology Dec 27, 2019
BACKGROUND AND AIM: Detecting blood content in the gastrointestinal tract is one of the crucial applications of capsule endoscopy (CE). The suspected blood indicator (SBI) is a conventional tool used to automatically tag images depicting possible ble...
Humans Blood Deep Learning Neural Networks, Computer Retrospective Studies Capsule Endoscopy ROC Curve Intestine, Small Sensitivity and Specificity Area Under Curve
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Deep learning algorithms for automated detection of Crohn's disease ulcers by video capsule endoscopy.

Gastrointestinal endoscopy Nov 16, 2019
BACKGROUND AND AIMS: The aim of our study was to develop and evaluate a deep learning algorithm for the automated detection of small-bowel ulcers in Crohn's disease (CD) on capsule endoscopy (CE) images of individual patients.
Ulcer Deep Learning Capsule Endoscopy Intestinal Mucosa Algorithms Automation Intestine, Small Retrospective Studies Humans Crohn Disease Random Allocation Reproducibility of Results Neural Networks, Computer
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