Artificial Intelligence in Gastrointestinal Motility Diagnostics: A Systematic Review [PDF]
Artificial Intelligence shows strong potential to improve the accuracy, efficiency, and standardization of gastrointestinal motility diagnostics. In time, this will improve patient care, but for now the referenced studies throughout the GI tract lack the required rigor for clinical implementation. ABSTRACT Background The assessment of gastrointestinal (
Dylan Muggleston +3 more
wiley +2 more sources
Artificial Intelligence in Digestive Endoscopy Training—The Past, Present, and Future [PDF]
AI may enhance endoscopy training through improved detection, guidance and evaluation, but demands careful implementation, validation and ethical governance to maximize benefits. ABSTRACT Background and Objective Artificial intelligence (AI) is reshaping gastrointestinal endoscopy, yet its role in training remains unexplored.
Jacky C. L. Ho +4 more
wiley +2 more sources
QRNet: A Quaternion-Based Retinex Framework for Enhanced Wireless Capsule Endoscopy Image Quality [PDF]
Wireless capsule endoscopy (WCE) offers a non-invasive diagnostic alternative for the gastrointestinal tract using a battery-powered capsule. Despite advantages, WCE encounters issues with video quality and diagnostic accuracy, often resulting in missing
Vladimir Frants, Sos Agaian
doaj +2 more sources
MSRCTNet: a novel multi-scale capsule triplet network for efficient redundant frame removal in wireless capsule endoscopy videos [PDF]
Wireless capsule endoscopy (WCE) examinations generate approximately 55,000 images per procedure, with a vast majority being redundant due to high structural similarity, imposing a significant burden on physicians during review.
Qiran Li +5 more
doaj +2 more sources
Color-Transfer-Enhanced Data Construction and Validation for Deep Learning-Based Upper Gastrointestinal Landmark Classification in Wireless Capsule Endoscopy [PDF]
While the adoption of wireless capsule endoscopy (WCE) has been steadily increasing, its primary application remains limited to observing the small intestine, with relatively less application in the upper gastrointestinal tract.
Hyeon-Seo Kim +3 more
doaj +2 more sources
Emulating Hyperspectral and Narrow-Band Imaging for Deep-Learning-Driven Gastrointestinal Disorder Detection in Wireless Capsule Endoscopy [PDF]
Diagnosing gastrointestinal disorders (GIDs) remains a significant challenge, particularly when relying on wireless capsule endoscopy (WCE), which lacks advanced imaging enhancements like Narrow Band Imaging (NBI).
Chu-Kuang Chou +9 more
doaj +2 more sources
Robotic wireless capsule endoscopy: recent advances and upcoming technologies [PDF]
Wireless capsule endoscopy (WCE) offers a non-invasive evaluation of the digestive system, eliminating the need for sedation and the risks associated with conventional endoscopic procedures.
Qing Cao +8 more
doaj +2 more sources
Magnetic Actuation for Wireless Capsule Endoscopy in a Large Workspace Using a Mobile-Coil System [PDF]
Current wireless capsule endoscopy (WCE) is limited in the long examination time and low flexibility since the capsule is passively moved by the natural peristalsis.
Xiao Li +4 more
doaj +2 more sources
Location estimation of UWB-based wireless capsule endoscopy using TDoA in various gastrointestinal simulation models. [PDF]
Wireless capsule endoscopy (WCE) is a revolutionary field that aids in treating gastrointestinal disorders. For the development of a futuristic endoscopic capsule, identifying the location of abnormality is challenging yet a crucial step in determining ...
Sruthi Krishnan +2 more
doaj +2 more sources
King Abdulaziz University Hospital Capsule dataset: A novel small-bowel endoscopic image repository from Saudi Arabia [PDF]
Wireless Capsule Endoscopy (WCE) has fundamentally transformed diagnostic methodologies for small-bowel (SB) abnormalities, providing a comprehensive and non-invasive gastrointestinal assessment in contrast to conventional endoscopic procedures. The King
Hamza Ghandorh +4 more
doaj +2 more sources

