AIMC Topic: Gastrointestinal Hemorrhage

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Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging.

Journal of digital imaging Mar 16, 2021
PURPOSE: The objective of this paper was to develop a computer-aided diagnostic (CAD) tools for automated analysis of capsule endoscopic (CE) images, more precisely, detect small intestinal abnormalities like bleeding.
Humans Capsule Endoscopy Gastrointestinal Hemorrhage Intestine, Small Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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Performance of a convolutional neural network for automatic detection of blood and hematic residues in small bowel lumen.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Feb 23, 2021
Humans Gastrointestinal Hemorrhage Intestine, Small Neural Networks, Computer ROC Curve Capsule Endoscopy
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Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules.

Journal of gastroenterology and hepatology Jan 25, 2021
BACKGROUND AND AIM: Guidelines recommend risk stratification scores in patients presenting with gastrointestinal bleeding (GIB), but such scores are uncommonly employed in practice. Automation and deployment of risk stratification scores in real time...
Algorithms Electronic Health Records Female Humans Emergency Service, Hospital Acute Disease Early Diagnosis Gastrointestinal Hemorrhage Clinical Decision Rules Risk Assessment Male Triage Middle Aged Natural Language Processing
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Reply.

Gastroenterology Mar 28, 2020
Gastrointestinal Hemorrhage Humans Machine Learning
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Regarding: Shung et al: Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Mar 19, 2020
Humans Machine Learning Gastrointestinal Hemorrhage
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RE: Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Mar 19, 2020
Machine Learning Gastrointestinal Hemorrhage Humans
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Probability density function based modeling of spatial feature variation in capsule endoscopy data for automatic bleeding detection.

Computers in biology and medicine Oct 3, 2019
Wireless capsule endoscopy (WCE) is a video technology to inspect abnormalities, like bleeding in the gastrointestinal tract. In order to avoid a complex and long duration manual review process, automatic bleeding detection schemes are developed that...
Humans Wireless Technology Video Recording Image Processing, Computer-Assisted Support Vector Machine Capsule Endoscopy Gastrointestinal Hemorrhage
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Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Oct 2, 2019
BACKGROUND AND AIM: Although small-bowel angioectasia is reported as the most common cause of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in patients with obscure gastrointestinal bleeding, a computer-aided detection metho...
Predictive Value of Tests Capsule Endoscopy Gastrointestinal Hemorrhage Intestine, Small Middle Aged Deep Learning ROC Curve Dilatation, Pathologic Male Humans Retrospective Studies Neural Networks, Computer Female Aged
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Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Sep 25, 2019
BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate the risk of ...
Blood Transfusion Female Emergency Service, Hospital Aged Middle Aged Gastrointestinal Hemorrhage Aged, 80 and over Models, Biological Risk Assessment Adult Hemostatic Techniques Humans ROC Curve Male Machine Learning Prognosis
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Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review.

Digestive diseases and sciences May 4, 2019
Risk stratification of patients with gastrointestinal bleeding (GIB) is recommended, but current risk assessment tools have variable performance. Machine learning (ML) has promise to improve risk assessment. We performed a systematic review to evalua...
Patient Selection Female Gastrointestinal Hemorrhage Risk Factors Hemostatic Techniques Aged Machine Learning Male Time Factors Decision Support Techniques Humans Treatment Outcome Middle Aged Clinical Decision-Making Neural Networks, Computer Risk Assessment
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