AIMC Topic: Endoscopy, Gastrointestinal

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Vocal cord leukoplakia classification using deep learning models in white light and narrow band imaging endoscopy images.

Head & neck Oct 14, 2023
BACKGROUND: Accurate vocal cord leukoplakia classification is critical for the individualized treatment and early detection of laryngeal cancer. Numerous deep learning techniques have been proposed, but it is unclear how to select one to apply in the...
Endoscopy, Gastrointestinal Hyperplasia Endoscopy Deep Learning Narrow Band Imaging Leukoplakia Vocal Cords Laryngeal Neoplasms Humans
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Gastrointestinal tract disorders classification using ensemble of InceptionNet and proposed GITNet based deep feature with ant colony optimization.

PloS one Oct 13, 2023
Computer-aided classification of diseases of the gastrointestinal tract (GIT) has become a crucial area of research. Medical science and artificial intelligence have helped medical experts find GIT diseases through endoscopic procedures. Wired endosc...
Endoscopy, Gastrointestinal Gastrointestinal Tract Humans Artificial Intelligence Support Vector Machine
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What we need to do to integrate artificial intelligence into GI endoscopy.

Gastrointestinal endoscopy Sep 17, 2023
Artificial Intelligence Endoscopy Humans Endoscopy, Gastrointestinal
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Usefulness of the artificial intelligence-mediated virtual chromoendoscopy in peroral cholangioscopy.

Endoscopy Aug 21, 2023
Laparoscopy Endoscopy, Gastrointestinal Humans Artificial Intelligence Indigo Carmine Colonography, Computed Tomographic
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Assisted documentation as a new focus for artificial intelligence in endoscopy: the precedent of reliable withdrawal time and image reporting.

Endoscopy Jul 3, 2023
BACKGROUND : Reliable documentation is essential for maintaining quality standards in endoscopy; however, in clinical practice, report quality varies. We developed an artificial intelligence (AI)-based prototype for the measurement of withdrawal and ...
Endoscopy, Gastrointestinal Documentation Colonoscopy Humans Artificial Intelligence Algorithms
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The Pros and Cons of Artificial Intelligence in Endoscopy.

The American journal of gastroenterology Apr 12, 2023
Endoscopy, Gastrointestinal Artificial Intelligence Endoscopy Humans
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Comparative study of convolutional neural network architectures for gastrointestinal lesions classification.

PeerJ Mar 16, 2023
The gastrointestinal (GI) tract can be affected by different diseases or lesions such as esophagitis, ulcers, hemorrhoids, and polyps, among others. Some of them can be precursors of cancer such as polyps. Endoscopy is the standard procedure for the ...
Endoscopy, Gastrointestinal Neural Networks, Computer Gastrointestinal Tract Deep Learning Diagnosis, Computer-Assisted
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Transformer-based multi-task learning for classification and segmentation of gastrointestinal tract endoscopic images.

Computers in biology and medicine Mar 5, 2023
Despite being widely utilized to help endoscopists identify gastrointestinal (GI) tract diseases using classification and segmentation, models based on convolutional neural network (CNN) have difficulties in distinguishing the similarities among some...
Neural Networks, Computer Image Processing, Computer-Assisted Endoscopy, Gastrointestinal Gastrointestinal Tract
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Deep learning-based clinical decision support system for gastric neoplasms in real-time endoscopy: development and validation study.

Endoscopy Feb 8, 2023
BACKGROUND : Deep learning models have previously been established to predict the histopathology and invasion depth of gastric lesions using endoscopic images. This study aimed to establish and validate a deep learning-based clinical decision support...
Humans Prospective Studies Stomach Neoplasms Endoscopy Decision Support Systems, Clinical Deep Learning Endoscopy, Gastrointestinal Pilot Projects
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Framework and metrics for the clinical use and implementation of artificial intelligence algorithms into endoscopy practice: recommendations from the American Society for Gastrointestinal Endoscopy Artificial Intelligence Task Force.

Gastrointestinal endoscopy Feb 8, 2023
In the past few years, we have seen a surge in the development of relevant artificial intelligence (AI) algorithms addressing a variety of needs in GI endoscopy. To accept AI algorithms into clinical practice, their effectiveness, clinical value, and...
Endoscopy, Gastrointestinal Benchmarking Ecosystem Algorithms Humans Reproducibility of Results Artificial Intelligence
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