AIMC Topic: Fatty Liver

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Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV.

Pharmacoepidemiology and drug safety Jun 8, 2023
PURPOSE: Hepatic steatosis (fatty liver disease) affects 25% of the world's population, particularly people with HIV (PWH). Pharmacoepidemiologic studies to identify medications associated with steatosis have not been conducted because methods to eva...
Humans Retrospective Studies Deep Learning HIV Infections Fatty Liver Tomography, X-Ray Computed Cross-Sectional Studies
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Parallelized ultrasound homodyned-K imaging based on a generalized artificial neural network estimator.

Ultrasonics Mar 20, 2023
The homodyned-K (HK) distribution model is a generalized backscatter envelope statistical model for ultrasound tissue characterization, whose parameters are of physical meaning. To estimate the HK parameters is an inverse problem, and is quite compli...
Models, Statistical Ultrasonography Fatty Liver Neural Networks, Computer Humans Computer Simulation
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Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.

EBioMedicine Oct 26, 2022
BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and COVID-19 risk assessment. This study presents a deep-learning-based hepatic fat assessment (DeHFt) pipeline for (a) more standardised measurements and (...
Deep Learning Retrospective Studies Humans COVID-19 Fatty Liver Tomography, X-Ray Computed Severity of Illness Index
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Liver Attenuation Assessment in Reduced Radiation Chest Computed Tomography.

Journal of computer assisted tomography Jun 3, 2022
OBJECTIVE: This study aimed to evaluate the reliability of liver and spleen Hounsfield units (HU) measurements in reduced radiation computed tomography (RRCT) of the chest within the sub-millisievert range.
Humans Artificial Intelligence Tomography, X-Ray Computed Reproducibility of Results Fatty Liver Prospective Studies Retrospective Studies
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Cascaded Deep Learning Neural Network for Automated Liver Steatosis Diagnosis Using Ultrasound Images.

Sensors (Basel, Switzerland) Aug 5, 2021
Diagnosing liver steatosis is an essential precaution for detecting hepatocirrhosis and liver cancer in the early stages. However, automatic diagnosis of liver steatosis from ultrasound (US) images remains challenging due to poor visual quality from ...
Fatty Liver Ultrasonography Image Processing, Computer-Assisted Neural Networks, Computer Deep Learning Humans
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Machine Learning Algorithms for Predicting Fatty Liver Disease.

Annals of nutrition & metabolism Apr 13, 2021
BACKGROUND: Fatty liver disease (FLD) has become a rampant condition. It is associated with a high rate of morbidity and mortality in a population. The condition is commonly referred as FLD. Early prediction of FLD would allow patients to take necess...
Area Under Curve Clinical Decision Rules Logistic Models Predictive Value of Tests Risk Assessment Fatty Liver Algorithms Female Male Humans Adult Middle Aged Machine Learning
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Transfer learning with pre-trained deep convolutional neural networks for the automatic assessment of liver steatosis in ultrasound images.

Medical ultrasonography Dec 29, 2020
AIM: In this paper we proposed different architectures of convolutional neural network (CNN) to classify fatty liver disease in images using only pixels and diagnosis labels as input. We trained and validated our models using a dataset of 629 images ...
Fatty Liver Deep Learning Humans Ultrasonography Middle Aged
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Use of a convolutional neural network and quantitative ultrasound for diagnosis of fatty liver.

Ultrasound in medicine & biology Dec 25, 2020
Quantitative ultrasound (QUS) was used to classify rabbits that were induced to have liver disease by placing them on a fatty diet for a defined duration and/or periodically injecting them with CCl. The ground truth of the liver state was based on li...
Liver Neural Networks, Computer Dietary Fats Rabbits Animals Non-alcoholic Fatty Liver Disease Machine Learning Male Ultrasonography Fatty Liver
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Combining Data with Predictions for Modeling Hepatic Steatosis by Using Stratified Bagging and Conformal Prediction.

Chemical research in toxicology Dec 21, 2020
Hepatic steatosis (fatty liver) is a severe liver disease induced by the excessive accumulation of fatty acids in hepatocytes. In this study, we developed reliable models for predicting hepatic steatosis on the basis of an data set of 1041 compound...
Hydrocarbons, Acyclic Machine Learning Molecular Conformation Databases, Factual Hydrocarbons, Aromatic Computer Simulation Humans Fatty Liver Models, Molecular
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Parameter estimation of the homodyned K distribution based on an artificial neural network for ultrasound tissue characterization.

Ultrasonics Dec 1, 2020
The homodyned K (HK) distribution allows a general description of ultrasound backscatter envelope statistics with specific physical meanings. In this study, we proposed a new artificial neural network (ANN) based parameter estimation method of the HK...
Humans Computer Simulation Ultrasonography Neural Networks, Computer Tissue Donors Image Processing, Computer-Assisted Fatty Liver
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