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 (
Muggleston D +3 more
europepmc +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.
Ho JCL +4 more
europepmc +2 more sources
Wireless Capsule Endoscopy (WCE): Review [PDF]
Wireless capsule endoscopy is presently taken into consideration the gold standard investigation of the small bowel. It is both realistic for physicians and easily accepted by patients.
Naser, Maged +2 more
core +1 more source
Summarization of Wireless Capsule Endoscopy Video Using Deep Feature Matching and Motion Analysis
Conventional Wireless capsule endoscopy (WCE) video summary generation techniques apprehend an image by extracting hand crafted features, which are not essentially sufficient to encapsulate the semantic similarity of endoscopic images.
B. Sushma, P. Aparna
doaj +1 more source
Accuracy of UWB Path Loss‐Based Localization of Wireless Capsule Endoscopy
Wireless capsule endoscopy (WCE) is used to diagnose lesions in the gastrointestinal (GI) tract. The physicians require to know the exact position of the lesions which can be performed by localizing the WCE in the GI tract. In this paper, we propose ultra‐wideband (UWB) path loss‐based WCE localization and compute the Cramer–Rao lower bound (CRLB) to ...
Umma Hany, Lutfa Akter, Emanuele Rizzuto
wiley +1 more source
Detecting and managing small bowel Crohn’s disease – capsule endoscopy becoming a first line diagnostic method? [PDF]
Small bowel endoscopy is crucial for diagnosing small bowel Crohn’s disease, and capsule endoscopy is complemented by balloon-assisted enteroscopy to take biopsies and by magnetic resonance imaging to visualize enteral and extra-intestinal involvement ...
Hausmann, Johannes +1 more
core +1 more source
Recent Advancements in Localization Technologies for Wireless Capsule Endoscopy: A Technical Review [PDF]
Fahad N. Alsunaydih +2 more
exaly +2 more sources
Feature Extraction for Polyp Detection in Wireless Capsule Endoscopy Video Frames
Wireless capsule endoscopy (WCE) is a technology for filming the gastrointestinal (GI) tract to find abnormalities such as tumors, polyps, and bleeding. This paper proposes a new method based on hand‐crafted features to detect polyps in WCE frames. A polyp has a convex surface containing pixel values with a specified Gaussian distribution.
Bardia Delagah +2 more
wiley +1 more source
Medical image segmentation using deep learning: A survey
Abstract Deep learning has been widely used for medical image segmentation and a large number of papers has been presented recording the success of deep learning in the field. A comprehensive thematic survey on medical image segmentation using deep learning techniques is presented. This paper makes two original contributions.
Risheng Wang +5 more
wiley +1 more source
Wireless capsule endoscopy (WCE) is a modern, non-invasive method of gastrointestinal examination that can significantly reduce mortality and morbidity. One of the current challenges in WCE is the precise localization of the capsule.
Yana A. Salchak +7 more
doaj +1 more source

