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One-year review of real-time artificial intelligence (AI)-aided endoscopy performance
BackgroundColonoscopies have long been the gold standard for detection of pre-malignant neoplastic lesions of the colon. Our previous study tried...
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Artificial intelligence in endoscopy related to inflammatory bowel disease: A systematic review
Background and ObjectivesIn spite of rapid growth of artificial intelligence (AI) in digestive endoscopy in lesion detection and characterization,...
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Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: a cohort study in Singapore
BackgroundColonoscopy is a mainstay to detect premalignant neoplastic lesions in the colon. Real-time Artificial Intelligence (AI)-aided colonoscopy...
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Surgeon assessment of significant rectal polyps using white light endoscopy alone and in comparison to fluorescence-augmented AI lesion classification
PurposePerioperative decision making for large (> 2 cm) rectal polyps with ambiguous features is complex. The most common intraprocedural assessment...
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A colonial serrated polyp classification model using white-light ordinary endoscopy images with an artificial intelligence model and TensorFlow chart
In this study, we implemented a combination of data augmentation and artificial intelligence (AI) model—Convolutional Neural Network (CNN)—to help...
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Reading of small bowel capsule endoscopy after frame reduction using an artificial intelligence algorithm
ObjectivesPoorly visualized images that appear during small bowel capsule endoscopy (SBCE) can confuse the interpretation of small bowel lesions and...
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Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
Recent developments in deep learning have enabled data-driven algorithms that can reach human-level performance and beyond. The development and...
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Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy
White light endoscopy is the most pivotal tool for detecting early gastric neoplasms. Previous artificial intelligence (AI) systems were primarily...
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Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and displays to electronics connecting configurable illumination...
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Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis
BackgroundDifferentiating between Crohn’s disease (CD) and intestinal tuberculosis (ITB) with endoscopy is challenging. We aim to perform more...
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Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review
With the advances in endoscopic technologies and artificial intelligence, a large number of endoscopic imaging datasets have been made public to...
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Exploring the challenge of early gastric cancer diagnostic AI system face in multiple centers and its potential solutions
BackgroundArtificial intelligence (AI) performed variously among test sets with different diversity due to sample selection bias, which can be...
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Integration of AI in surgical decision support: improving clinical judgment
Though early in its development, artificial Intelligence (AI)-enabled clinical decision support (CDS) systems show promise in improving surgical...
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Artificial Intelligence in Endoscopy
Artificial intelligence (AI) is rapidly develo** in various medical fields, and there is an increase in research performed in the field of...
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Artificial intelligence for diagnosing gastric lesions under white-light endoscopy
BackgroundThe ability of endoscopists to identify gastric lesions is uneven. Even experienced endoscopists may miss or misdiagnose lesions due to...
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An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learning
PurposeInformative image selection in laryngoscopy has the potential for improving automatic data extraction alone, for selective data storage and a...
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Interobserver agreement on landmark and flexure identification in colon capsule endoscopy
PurposeWhen an optical colonoscopy is carried out, Scope Guide can assist the endoscopist in determining the localization. In colon capsule endoscopy...
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Artificial intelligence and colon capsule endoscopy: development of an automated diagnostic system of protruding lesions in colon capsule endoscopy
BackgroundColon capsule endoscopy (CCE) is a minimally invasive alternative for patients unwilling to undergo conventional colonoscopy, or for whom...
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Highlighting the Undetectable — Fluorescence Molecular Imaging in Gastrointestinal Endoscopy
AbstractFlexible high-definition white-light endoscopy is the current gold standard in screening for cancer and its precursor lesions in the...
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Comparing efficacy of the mandibular advancement device after drug-induced sleep endoscopy and continuous positive airway pressure in patients with obstructive sleep apnea
PurposeThe purpose of this study was to compare objective and self-reported outcomes of two treatments for managing mild, moderate, and severe...
