AIMC Topic: Fatty Liver

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Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST).

PloS one Aug 3, 2020
BACKGROUND: The National Lung Screening Trial (NLST) demonstrated that annual screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. Nonetheless, the leading cause of mortality in the study was from...
Retrospective Studies Tomography, X-Ray Computed Female Risk Factors Male Humans Machine Learning Liver Randomized Controlled Trials as Topic Radiographic Image Interpretation, Computer-Assisted Cigarette Smoking Lung Neoplasms Coronary Vessels Fatty Liver Clinical Trials, Phase III as Topic Cardiovascular Diseases United States National Cancer Institute (U.S.) Mass Screening Early Detection of Cancer Middle Aged Emphysema Risk Assessment Lung
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Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies.

Laboratory investigation; a journal of technical methods and pathology Jul 13, 2020
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for risk stratification and management of patients with fatty liver diseases and in the decision to use donor livers for transplantation. However, patholo...
Fatty Liver Liver Biopsy Radiographic Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Humans Software Algorithms Deep Learning
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Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts.

PLoS medicine Jun 19, 2020
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible dama...
Male Middle Aged Risk Assessment Humans Fatty Liver Diabetes Complications Models, Statistical Machine Learning Prospective Studies Female Reproducibility of Results
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Ultrasonic liver steatosis quantification by a learning-based acoustic model from a novel shear wave sequence.

Biomedical engineering online Dec 21, 2019
BACKGROUND: An efficient and accurate approach to quantify the steatosis extent of liver is important for clinical practice. For the purpose, we propose a specific designed ultrasound shear wave sequence to estimate ultrasonic and shear wave physical...
Image Processing, Computer-Assisted Fatty Liver Models, Biological Acoustics Shear Strength Adult Male Middle Aged Ultrasonography Triglycerides Phantoms, Imaging Humans Machine Learning Female Aged Young Adult
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Non-invasive diagnosis of non-alcoholic steatohepatitis and fibrosis with the use of omics and supervised learning: A proof of concept study.

Metabolism: clinical and experimental Nov 9, 2019
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 25-30% of the general population and is characterized by the presence of non-alcoholic fatty liver (NAFL) that can progress to non-alcoholic steatohepatitis (NASH), liver fibrosis and cirr...
Supervised Machine Learning Non-alcoholic Fatty Liver Disease Fatty Acids Proof of Concept Study Fatty Liver Liver Cirrhosis Metabolomics Lipids Polysaccharides Female Male Humans Middle Aged Case-Control Studies
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Prediction of fatty liver disease using machine learning algorithms.

Computer methods and programs in biomedicine Dec 29, 2018
BACKGROUND AND OBJECTIVE: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for preven...
Humans Neural Networks, Computer Machine Learning Algorithms Adult Male Taiwan Middle Aged Early Diagnosis ROC Curve Forecasting Fatty Liver Electronic Health Records Female Aged
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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...
Liver Function Tests Non-alcoholic Fatty Liver Disease Hepatitis Case-Control Studies Risk Factors Logistic Models Alanine Transaminase Cohort Studies Aged Liver Cirrhosis Aspartate Aminotransferases Diabetes Mellitus, Type 2 Male Health Status Humans Fatty Liver Middle Aged Decision Trees Biomarkers Disease Progression Supervised Machine Learning Electronic Health Records Female
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Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images.

International journal of computer assisted radiology and surgery Aug 9, 2018
PURPOSE: The nonalcoholic fatty liver disease is the most common liver abnormality. Up to date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic tissue samples. In this paper we propose a neural network-base...
Female Adult Male Ultrasonography ROC Curve Fatty Liver Support Vector Machine Liver Humans Neural Networks, Computer Algorithms
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Computer-assisted liver graft steatosis assessment via learning-based texture analysis.

International journal of computer assisted radiology and surgery May 23, 2018
PURPOSE: Fast and accurate graft hepatic steatosis (HS) assessment is of primary importance for lowering liver dysfunction risks after transplantation. Histopathological analysis of biopsied liver is the gold standard for assessing HS, despite being ...
Humans Machine Learning Algorithms Image Interpretation, Computer-Assisted Fatty Liver Pattern Recognition, Automated Liver Color Liver Transplantation
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Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.

Computer methods and programs in biomedicine Dec 16, 2017
Background and Objective Fatty Liver Disease (FLD) - a disease caused by deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The machine learning (ML) techniques applied for FLD detection and risk stratificatio...
ROC Curve Fatty Liver Computational Biology Support Vector Machine Machine Learning Benchmarking Reproducibility of Results Image Interpretation, Computer-Assisted Risk Factors Diagnosis, Computer-Assisted Ultrasonography Humans Neural Networks, Computer
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