Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
[HTML][HTML] Frontiers of robotic endoscopic capsules: a review
Digestive diseases are a major burden for society and healthcare systems, and with an
aging population, the importance of their effective management will become critical …
aging population, the importance of their effective management will become critical …
[HTML][HTML] Kvasir-Capsule, a video capsule endoscopy dataset
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule
endoscopy (VCE) technology. The potential lies in improving anomaly detection while …
endoscopy (VCE) technology. The potential lies in improving anomaly detection while …
Comparative validation of polyp detection methods in video colonoscopy: results from the MICCAI 2015 endoscopic vision challenge
Colonoscopy is the gold standard for colon cancer screening though some polyps are still
missed, thus preventing early disease detection and treatment. Several computational …
missed, thus preventing early disease detection and treatment. Several computational …
A deep convolutional neural network for bleeding detection in wireless capsule endoscopy images
Wireless Capsule Endoscopy (WCE) is a standard non-invasive modality for small bowel
examination. Recently, the development of computer-aided diagnosis (CAD) systems for …
examination. Recently, the development of computer-aided diagnosis (CAD) systems for …
Detecting and locating gastrointestinal anomalies using deep learning and iterative cluster unification
DK Iakovidis, SV Georgakopoulos… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes a novel methodology for automatic detection and localization of
gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed …
gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed …
Ingestible sensors
Ingestible sensing capsules are fast emerging as a critical technology that has the ability to
greatly impact health, nutrition, and clinical areas. These ingestible devices are noninvasive …
greatly impact health, nutrition, and clinical areas. These ingestible devices are noninvasive …
A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy
R Leenhardt, P Vasseur, C Li, JC Saurin… - Gastrointestinal …, 2019 - Elsevier
Background and Aims GI angiectasia (GIA) is the most common small-bowel (SB) vascular
lesion, with an inherent risk of bleeding. SB capsule endoscopy (SB-CE) is the currently …
lesion, with an inherent risk of bleeding. SB capsule endoscopy (SB-CE) is the currently …
Hookworm detection in wireless capsule endoscopy images with deep learning
As one of the most common human helminths, hookworm is a leading cause of maternal and
child morbidity, which seriously threatens human health. Recently, wireless capsule …
child morbidity, which seriously threatens human health. Recently, wireless capsule …
Development and validation of an artificial intelligence model for small bowel capsule endoscopy video review
X Xie, YF Xiao, XY Zhao, JJ Li, QQ Yang… - JAMA network …, 2022 - jamanetwork.com
Importance Reading small bowel capsule endoscopy (SBCE) videos is a tedious task for
clinicians, and a new method should be applied to solve the situation. Objectives To develop …
clinicians, and a new method should be applied to solve the situation. Objectives To develop …