AIMC Topic: Liver Cirrhosis

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A New Multimodel Machine Learning Framework to Improve Hepatic Fibrosis Grading Using Ultrasound Elastography Systems from Different Vendors.

Ultrasound in medicine & biology Oct 11, 2019
The purpose of the work described here was to determine if the diagnostic performance of point and 2-D shear wave elastography (pSWE; 2-DSWE) using shear wave velocity (SWV) with a new machine learning (ML) technique applied to systems from different...
Humans Young Adult Adult Male Middle Aged Liver Cirrhosis Elasticity Imaging Techniques Machine Learning Retrospective Studies Female Aged Aged, 80 and over
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Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.

European radiology Sep 2, 2019
OBJECTIVES: The aim of this study was to develop a deep convolutional neural network (DCNN) for the prediction of the METAVIR score using B-mode ultrasonography images.
ROC Curve Liver Cirrhosis Radiologists Elasticity Imaging Techniques Male Middle Aged Deep Learning Retrospective Studies Clinical Competence Ultrasonography Female Reproducibility of Results Humans Algorithms
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Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules.

European radiology Aug 23, 2019
PURPOSE: To enhance clinician's decision-making by diagnosing hepatocellular carcinoma (HCC) in cirrhotic patients with indeterminate liver nodules using quantitative imaging features extracted from triphasic CT scans.
Liver Neoplasms Tomography, X-Ray Computed Carcinoma, Hepatocellular Liver Cirrhosis Female Diagnosis, Differential Humans Contrast Media Aged Liver Male Artificial Intelligence Middle Aged Machine Learning Retrospective Studies
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Noninvasive Evaluation of Liver Fibrosis Reverse Using Artificial Neural Network Model for Chronic Hepatitis B Patients.

Computational and mathematical methods in medicine Jul 21, 2019
The diagnostic performance of an artificial neural network model for chronic HBV-induced liver fibrosis reverse is not well established. Our research aims to construct an ANN model for estimating noninvasive predictors of fibrosis reverse in chronic ...
Mathematical Concepts Adult Male Middle Aged China Humans ROC Curve Models, Biological Neural Networks, Computer Hepatitis B, Chronic Prospective Studies Liver Cirrhosis Remission Induction Biomarkers Liver Female Biopsy
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Streptococcus Gallolyticus endocarditis in patient with liver cirrhosis: a case report.

Journal of infection in developing countries Apr 30, 2019
Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and diseases of gastrointestinal tract, especially with colorectal carcinoma. On the other side, it is rarely connected to liver disease, especially alco...
Pericardial Effusion Aortic Valve Humans Serbia Streptococcal Infections Adult Streptococcus gallolyticus Alcoholism Male Endocarditis Hospitals Fatal Outcome Liver Cirrhosis
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Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment.

Medical physics Apr 15, 2019
PURPOSE: To automatically detect and isolate areas of low and high stiffness temporal stability in shear wave elastography (SWE) image sequences and define their impact in chronic liver disease (CLD) diagnosis improvement by means of clinical examina...
Time Factors Image Processing, Computer-Assisted Liver Cirrhosis Liver Chronic Disease Fibrosis Humans Reproducibility of Results Case-Control Studies Deep Learning Elasticity Imaging Techniques
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Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Gastrointestinal Hemorrhage Hepatic Encephalopathy Serum Albumin Blood Urea Nitrogen Endoscopy, Digestive System Hepatitis C, Chronic Alanine Transaminase Aspartate Aminotransferases Bilirubin Liver Cirrhosis, Alcoholic Thrombocytopenia Liver Cirrhosis Mass Screening International Normalized Ratio Esophageal and Gastric Varices Ascites Creatinine Non-alcoholic Fatty Liver Disease Hemoglobins Sodium Platelet Count Aged Male Middle Aged Risk Assessment Severity of Illness Index Humans Machine Learning Prospective Studies Female
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Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists of a spectr...
Fatty Liver Logistic Models Liver Cirrhosis Humans Health Status Biomarkers Liver Function Tests Electronic Health Records Supervised Machine Learning Decision Trees Middle Aged Female Non-alcoholic Fatty Liver Disease Disease Progression Risk Factors Hepatitis Case-Control Studies Aged Alanine Transaminase Cohort Studies Male Aspartate Aminotransferases Diabetes Mellitus, Type 2
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Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver.

Radiology Sep 4, 2018
Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by using CT images in the liver. Materials and Methods DLS for CT-based staging of liver fibrosis was created by using a development data set that included portal...
Contrast Media Liver Radiographic Image Enhancement Male Middle Aged Severity of Illness Index Deep Learning Liver Cirrhosis Humans Tomography, X-Ray Computed Female Reproducibility of Results Adult
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Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

European radiology Sep 3, 2018
OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning.
Machine Learning Algorithms Decision Support Techniques Prospective Studies Female Ultrasonography ROC Curve Logistic Models Adult Male Middle Aged Humans Neural Networks, Computer Liver Cirrhosis Support Vector Machine Decision Trees Area Under Curve Hepatitis B, Chronic
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