AIMC Topic: Capsule Endoscopy

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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution.

Singapore medical journal Mar 26, 2024
INTRODUCTION: Deep learning models can assess the quality of images and discriminate among abnormalities in small bowel capsule endoscopy (CE), reducing fatigue and the time needed for diagnosis. They serve as a decision support system, partially aut...
Humans Neural Networks, Computer Singapore Capsule Endoscopy Deep Learning Pilot Projects
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Application of artificial intelligence in gastrointestinal endoscopy.

Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology Jan 15, 2024
Endoscopy is an important method for diagnosing gastrointestinal (GI) diseases. In this study, we provide an overview of the advances in artificial intelligence (AI) technology in the field of GI endoscopy over recent years, including esophagus, stom...
Capsule Endoscopy Gastrointestinal Diseases Sensitivity and Specificity Endoscopy, Gastrointestinal Humans Artificial Intelligence
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Smart capsules for sensing and sampling the gut: status, challenges and prospects.

Gut Dec 7, 2023
Smart capsules are developing at a tremendous pace with a promise to become effective clinical tools for the diagnosis and monitoring of gut health. This field emerged in the early 2000s with a successful translation of an endoscopic capsule from lab...
Gastrointestinal Microbiome Robotics Humans Gastrointestinal Tract Biopsy Capsule Endoscopy
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Comparison of clinical utility of deep learning-based systems for small-bowel capsule endoscopy reading.

Journal of gastroenterology and hepatology Oct 13, 2023
BACKGROUND AND AIM: Convolutional neural network (CNN) systems that automatically detect abnormalities from small-bowel capsule endoscopy (SBCE) images are still experimental, and no studies have directly compared the clinical usefulness of different...
Deep Learning Capsule Endoscopy Intestine, Small Neural Networks, Computer Retrospective Studies Humans
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Deep Learning and Minimally Invasive Endoscopy: Automatic Classification of Pleomorphic Gastric Lesions in Capsule Endoscopy.

Clinical and translational gastroenterology Oct 1, 2023
INTRODUCTION: Capsule endoscopy (CE) is a minimally invasive examination for evaluating the gastrointestinal tract. However, its diagnostic yield for detecting gastric lesions is suboptimal. Convolutional neural networks (CNNs) are artificial intelli...
Deep Learning Capsule Endoscopy Neural Networks, Computer Artificial Intelligence Ulcer Humans
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Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

Journal of digital imaging Sep 21, 2023
With the advances in endoscopic technologies and artificial intelligence, a large number of endoscopic imaging datasets have been made public to researchers around the world. This study aims to review and introduce these datasets. An extensive litera...
Humans Artificial Intelligence Colonoscopy Capsule Endoscopy Diagnostic Imaging Intestine, Small
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Deep learning in negative small-bowel capsule endoscopy improves small-bowel lesion detection and diagnostic yield.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Sep 13, 2023
OBJECTIVES: Although several studies have shown the usefulness of artificial intelligence to identify abnormalities in small-bowel capsule endoscopy (SBCE) images, few studies have proven its actual clinical usefulness. Thus, the aim of this study wa...
Retrospective Studies Deep Learning Capsule Endoscopy Ulcer Humans Artificial Intelligence
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Artificial intelligence in digestive endoscopy: recent advances.

Current opinion in gastroenterology Jul 17, 2023
PURPOSE OF REVIEW: With the incessant advances in information technology and its implications in all domains of our life, artificial intelligence (AI) started to emerge as a need for better machine performance. How it can help endoscopists and what a...
Gastrointestinal Tract Prospective Studies Colonoscopy Capsule Endoscopy Humans Endoscopy Artificial Intelligence
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Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy.

Medicina (Kaunas, Lithuania) Apr 21, 2023
: Capsule endoscopy (CE) is a non-invasive method to inspect the small bowel that, like other enteroscopy methods, requires adequate small-bowel cleansing to obtain conclusive results. Artificial intelligence (AI) algorithms have been seen to offer i...
Deep Learning Capsule Endoscopy Artificial Intelligence Reproducibility of Results Humans Neural Networks, Computer
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Design and Control of a Magnetically-Actuated Capsule Robot With Biopsy Function.

IEEE transactions on bio-medical engineering Aug 19, 2022
OBJECTIVE: Wireless capsule endoscopy has been well used for gastrointestinal (GI) tract diagnosis. However, it can only obtain images and cannot take samples of GI tract tissues. In this study, we designed a magnetically-actuated biopsy capsule (MAB...
Gastrointestinal Tract Capsule Endoscopy Equipment Design Robotics Biopsy
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