AIMC Topic: Intestine, Small

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[Small bowel video keyframe retrieval based on multi-modal contrastive learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2025
Retrieving keyframes most relevant to text from small intestine videos with given labels can efficiently and accurately locate pathological regions. However, training directly on raw video data is extremely slow, while learning visual representations...
Humans Image Processing, Computer-Assisted Video Recording Intestine, Small Machine Learning Algorithms
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[Design and research of a pneumatic soft intestine robot imitating the inchworm].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2024
In order to seek a patient friendly and low-cost intestinal examination method, a structurally simple pneumatic soft intestinal robot inspired by inchworms is designed and manufactured. The intestinal robot was consisted of two radially expanding cyl...
Intestine, Small Robotics Equipment Design Humans Swine Animals Intestines
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Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forward.

World journal of gastroenterology May 14, 2024
The present letter to the editor is related to the study with the title "Automatic detection of small bowel (SB) lesions with different bleeding risk based on deep learning models". Capsule endoscopy (CE) is the main tool to assess SB diseases but it...
Deep Learning Capsule Endoscopy Gastrointestinal Hemorrhage Intestine, Small Artificial Intelligence Risk Assessment Humans
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AI-assisted capsule endoscopy reading in suspected small bowel bleeding: a multicentre prospective study.

The Lancet. Digital health May 1, 2024
BACKGROUND: Capsule endoscopy reading is time consuming, and readers are required to maintain attention so as not to miss significant findings. Deep convolutional neural networks can recognise relevant findings, possibly exceeding human performances ...
Artificial Intelligence Prospective Studies Humans Neural Networks, Computer Aged, 80 and over Adult Male Female Aged Gastrointestinal Hemorrhage Intestine, Small Middle Aged Capsule Endoscopy
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Automatic detection of small bowel lesions with different bleeding risks based on deep learning models.

World journal of gastroenterology Jan 14, 2024
BACKGROUND: Deep learning provides an efficient automatic image recognition method for small bowel (SB) capsule endoscopy (CE) that can assist physicians in diagnosis. However, the existing deep learning models present some unresolved challenges.
Intestine, Small Humans Deep Learning
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Artificial intelligence and capsule endoscopy: automatic detection of enteric protruding lesions using a convolutional neural network.

Revista espanola de enfermedades digestivas Feb 1, 2023
BACKGROUND AND AIMS: capsule endoscopy (CE) revolutionized the study of the small intestine. Nevertheless, reviewing CE images is time-consuming and prone to error. Artificial intelligence algorithms, particularly convolutional neural networks (CNN),...
Algorithms Neural Networks, Computer Humans Capsule Endoscopy Artificial Intelligence Intestine, Small
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Identification of Ulcers and Erosions by the Novel Pillcam™ Crohn's Capsule Using a Convolutional Neural Network: A Multicentre Pilot Study.

Journal of Crohn's & colitis Jan 28, 2022
BACKGROUND AND AIMS: Capsule endoscopy is a central element in the management of patients with suspected or known Crohn's disease. In 2017, PillCam™ Crohn's Capsule was introduced and demonstrated to have greater accuracy in the evaluation of extensi...
Intestinal Mucosa Crohn Disease Capsule Endoscopy Intestine, Small Colon Pilot Projects Neural Networks, Computer Sensitivity and Specificity Humans Ulcer
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Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network.

BMJ open gastroenterology Sep 1, 2021
OBJECTIVE: Capsule endoscopy (CE) is pivotal for evaluation of small bowel disease. Obscure gastrointestinal bleeding most often originates from the small bowel. CE frequently identifies a wide range of lesions with different bleeding potentials in t...
Artificial Intelligence Deep Learning Humans Neural Networks, Computer Intestine, Small Capsule Endoscopy
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Artificial intelligence in small bowel capsule endoscopy - current status, challenges and future promise.

Journal of gastroenterology and hepatology Jan 1, 2021
Neural network-based solutions are under development to alleviate physicians from the tedious task of small-bowel capsule endoscopy reviewing. Computer-assisted detection is a critical step, aiming to reduce reading times while maintaining accuracy. ...
Intestine, Small Humans Intestinal Diseases Artificial Intelligence Forecasting Capsule Endoscopy
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Artificial intelligence and capsule endoscopy: Is the truly "smart" capsule nearly here?

Gastrointestinal endoscopy Jan 1, 2019
Capsule Endoscopy Intestine, Small Artificial Intelligence Algorithms
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