AIMC Topic: Endoscopy, Gastrointestinal
Clear Filters Showing 31 to 40 of 159 articles
Using deep learning to assess the function of gastroesophageal flap valve according to the Hill classification system.
Annals of medicine
Nov 10, 2023
BACKGROUND: The endoscopic Hill classification of the gastroesophageal flap valve (GEFV) is of great importance for understanding the functional status of the esophagogastric junction (EGJ). Deep learning (DL) methods have been extensively employed i...
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...
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...
What we need to do to integrate artificial intelligence into GI endoscopy.
Gastrointestinal endoscopy
Sep 17, 2023
Usefulness of the artificial intelligence-mediated virtual chromoendoscopy in peroral cholangioscopy.
Endoscopy
Aug 21, 2023
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 ...
The Pros and Cons of Artificial Intelligence in Endoscopy.
The American journal of gastroenterology
Apr 12, 2023
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 ...
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...
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...
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