AIMC Topic: Intestine, Small

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Untangling and segmenting the small intestine in 3D cine-MRI using deep learning.

Medical image analysis Feb 7, 2022
Cine-MRI of the abdomen is a non-invasive imaging technique allowing assessment of small intestinal motility. This is valuable for the evaluation of gastrointestinal disorders. While 2D cine-MRI is increasingly used for this purpose in both clinical ...
Humans Magnetic Resonance Imaging Intestine, Small Magnetic Resonance Imaging, Cine Deep Learning Image Processing, Computer-Assisted
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Soft hybrid intrinsically motile robot for wireless small bowel enteroscopy.

Surgical endoscopy Jan 31, 2022
BACKGROUND: Difficulties in establishing diagnosis of small bowel (SB) disorders, prevented their effective treatment. This problem was largely resolved by wireless capsule endoscopy (WCE), which has since become the first line investigation for susp...
Polyvinyl Chloride Nylons Intestine, Small Intestinal Diseases Robotics Capsule Endoscopy Humans
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Automatic Prediction of Ischemia-Reperfusion Injury of Small Intestine Using Convolutional Neural Networks: A Pilot Study.

Sensors (Basel, Switzerland) Oct 8, 2021
Acute intestinal ischemia is a life-threatening condition. The current gold standard, with evaluation based on visual and tactile sensation, has low specificity. In this study, we explore the feasibility of using machine learning models on images of ...
Neural Networks, Computer Bayes Theorem Intestine, Small Artificial Intelligence Animals Pilot Projects Reperfusion Injury Swine
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A multisystem-compatible deep learning-based algorithm for detection and characterization of angiectasias in small-bowel capsule endoscopy. A proof-of-concept study.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Sep 22, 2021
BACKGROUND AND AIMS: Current artificial intelligence (AI)-based solutions for capsule endoscopy (CE) interpretation are proprietary. We aimed to evaluate an AI solution trained on a specific CE system (Pillcam®, Medtronic) for the detection of angiec...
Intestine, Small Angiodysplasia Deep Learning Capsule Endoscopy Humans Proof of Concept Study
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Magneto-Responsive Microneedle Robots for Intestinal Macromolecule Delivery.

Advanced materials (Deerfield Beach, Fla.) Sep 17, 2021
Oral administration is the most convenient and commonly used approach for drug delivery, while it is still a challenge to overcome the complicated gastrointestinal barriers and realize efficient macromolecular drug absorption. Here, novel magneto-res...
Robotics Administration, Oral Macromolecular Substances Blood Glucose Insulin Intestine, Small Microinjections Needles Magnetic Fields Animals Swine Drug Delivery Systems
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Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Aug 10, 2021
Quantitative phase imaging (QPI) is an emerging label-free technique that produces images containing morphological and dynamical information without contrast agents. Unfortunately, the phase is wrapped in most imaging system. Phase unwrapping is the ...
Mice Animals Organoids Algorithms Microscopy Intestine, Small Deep Learning Holography Cells, Cultured Image Processing, Computer-Assisted Tissue Culture Techniques
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Kvasir-Capsule, a video capsule endoscopy dataset.

Scientific data May 27, 2021
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing work demonstrates the promising ben...
Intestinal Diseases Humans Capsule Endoscopy Intestine, Small Machine Learning
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An artificial intelligence deep learning model for identification of small bowel obstruction on plain abdominal radiographs.

The British journal of radiology Apr 27, 2021
OBJECTIVES: Small bowel obstruction is a common surgical emergency which can lead to bowel necrosis, perforation and death. Plain abdominal X-rays are frequently used as a first-line test but the availability of immediate expert radiological review i...
Radiography, Abdominal Feasibility Studies Intestinal Obstruction Intestine, Small Middle Aged Humans Female Deep Learning Aged Adult Sensitivity and Specificity Male
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Small Bowel Capsule Endoscopy and artificial intelligence: First or second reader?

Best practice & research. Clinical gastroenterology Mar 24, 2021
Several machine learning algorithms have been developed in the past years with the aim to improve SBCE (Small Bowel Capsule Endoscopy) feasibility ensuring at the same time a high diagnostic accuracy. If past algorithms were affected by low performan...
Artificial Intelligence Machine Learning Deep Learning Capsule Endoscopy Humans Intestine, Small
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Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging.

Journal of digital imaging Mar 16, 2021
PURPOSE: The objective of this paper was to develop a computer-aided diagnostic (CAD) tools for automated analysis of capsule endoscopic (CE) images, more precisely, detect small intestinal abnormalities like bleeding.
Gastrointestinal Hemorrhage Intestine, Small Humans Image Processing, Computer-Assisted Neural Networks, Computer Capsule Endoscopy Deep Learning
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