AIMC Topic: Non-alcoholic Fatty Liver Disease
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Deep learning enables pathologist-like scoring of NASH models.
Scientific reports
Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Predictive models with the use of omics and supervised machine learning to diagnose non-alcoholic fatty liver disease: A "non-invasive alternative" to liver biopsy?
Metabolism: clinical and experimental
Nov 9, 2019
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...
Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment.
Radiology
Sep 17, 2019
Background Nonalcoholic fatty liver disease and its consequences are a growing public health concern requiring cross-sectional imaging for noninvasive diagnosis and quantification of liver fat. Purpose To investigate a deep learning-based automated l...
Raman spectroscopic histology using machine learning for nonalcoholic fatty liver disease.
FEBS letters
Jul 8, 2019
Histopathology requires the expertise of specialists to diagnose morphological features of cells and tissues. Raman imaging can provide additional biochemical information to benefit histological disease diagnosis. Using a dietary model of nonalcoholi...
Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.
International journal of medical informatics
Jul 6, 2019
OBJECTIVE: Electronic health record (EHR) systems contain structured data (such as diagnostic codes) and unstructured data (clinical documentation). Clinical insights can be derived from analyzing both. The use of natural language processing (NLP) al...
Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.
Medical physics
Jul 5, 2019
PURPOSE: Manually tracing regions of interest (ROIs) within the liver is the de facto standard method for measuring liver attenuation on computed tomography (CT) in diagnosing nonalcoholic fatty liver disease (NAFLD). However, manual tracing is resou...
Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Jun 20, 2019
OBJECTIVES: To verify the value of deep learning in diagnosing nonalcoholic fatty liver disease (NAFLD) by comparing 3 image-processing techniques.
Non-invasive assessment of NAFLD as systemic disease-A machine learning perspective.
PloS one
Mar 26, 2019
BACKGROUND & AIMS: Current non-invasive scores for the assessment of severity of non-alcoholic fatty liver disease (NAFLD) and identification of patients with non-alcoholic steatohepatitis (NASH) have insufficient performance to be included in clinic...
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...
Liver Cirrhosis, Alcoholic
Aged
Gastrointestinal Hemorrhage
Male
Hepatic Encephalopathy
Humans
Middle Aged
Esophageal and Gastric Varices
Serum Albumin
Risk Assessment
Ascites
Blood Urea Nitrogen
Creatinine
Machine Learning
Severity of Illness Index
Endoscopy, Digestive System
Non-alcoholic Fatty Liver Disease
Prospective Studies
Liver Cirrhosis
Thrombocytopenia
Female
Mass Screening
Hepatitis C, Chronic
Hemoglobins
International Normalized Ratio
Alanine Transaminase
Sodium
Aspartate Aminotransferases
Platelet Count
Bilirubin
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