AIMC Topic: Non-alcoholic Fatty Liver Disease

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Identification of disease-specific genes related to immune infiltration in nonalcoholic steatohepatitis using machine learning algorithms.

Medicine May 17, 2024
To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepatitis (NASH), we downloaded 2 publicly available gene expression profiles, GSE164760 and GSE37031, from the gene expression omnibus database. These prof...
Hep G2 Cells Non-alcoholic Fatty Liver Disease Humans Machine Learning Algorithms Gene Expression Profiling Transcriptome Support Vector Machine
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Six-gene prognostic signature for non-alcoholic fatty liver disease susceptibility using machine learning.

Medicine May 10, 2024
BACKGROUND: nonalcoholic fatty liver disease (NAFLD) is a common liver disease affecting the global population and its impact on human health will continue to increase. Genetic susceptibility is an important factor influencing its onset and progressi...
Genetic Predisposition to Disease Nomograms Non-alcoholic Fatty Liver Disease Calgranulin B Machine Learning Humans Reproducibility of Results Prognosis Male Female ROC Curve
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Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis.

Radiology Oct 1, 2023
Background Screening for nonalcoholic fatty liver disease (NAFLD) is suboptimal due to the subjective interpretation of US images. Purpose To evaluate the agreement and diagnostic performance of radiologists and a deep learning model in grading hepat...
Retrospective Studies Male Middle Aged Humans Biopsy Deep Learning Non-alcoholic Fatty Liver Disease ROC Curve Elasticity Imaging Techniques Liver
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US Quantification of Liver Fat: Past, Present, and Future.

Radiographics : a review publication of the Radiological Society of North America, Inc Jul 1, 2023
Fatty liver disease has a high and increasing prevalence worldwide, is associated with adverse cardiovascular events and higher long-term medical costs, and may lead to liver-related morbidity and mortality. There is an urgent need for accurate, repr...
Artificial Intelligence Prevalence Magnetic Resonance Imaging Humans Liver Non-alcoholic Fatty Liver Disease
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Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH.

Cell reports. Medicine Apr 18, 2023
Nonalcoholic steatohepatitis (NASH) is the most common chronic liver disease globally and a leading cause for liver transplantation in the US. Its pathogenesis remains imprecisely defined. We combined two high-resolution modalities to tissue samples ...
Liver Cirrhosis Non-alcoholic Fatty Liver Disease Humans Disease Progression Transcriptome Deep Learning
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Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images scalable deep learning.

World journal of gastroenterology Jun 14, 2022
BACKGROUND: Hepatic steatosis is a major cause of chronic liver disease. Two-dimensional (2D) ultrasound is the most widely used non-invasive tool for screening and monitoring, but associated diagnoses are highly subjective.
Non-alcoholic Fatty Liver Disease Elasticity Imaging Techniques ROC Curve Fatty Liver Liver Retrospective Studies Reproducibility of Results Deep Learning Humans
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Deep learning for abdominal ultrasound: A computer-aided diagnostic system for the severity of fatty liver.

Journal of the Chinese Medical Association : JCMA Sep 1, 2021
BACKGROUND: The prevalence of nonalcoholic fatty liver disease is increasing over time worldwide, with similar trends to those of diabetes and obesity. A liver biopsy, the gold standard of diagnosis, is not favored due to its invasiveness. Meanwhile,...
Ultrasonography Patient Acuity Humans Non-alcoholic Fatty Liver Disease Abdomen Retrospective Studies United States Deep Learning
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Quantification of Liver Steatosis: Is CT Equivalent to PDFF?

AJR. American journal of roentgenology Apr 1, 2021
Humans Tomography, X-Ray Computed Adult Deep Learning Non-alcoholic Fatty Liver Disease Reference Standards
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Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Journal of gastroenterology and hepatology Mar 1, 2021
Artificial intelligence (AI) has become increasingly widespread in our daily lives, including healthcare applications. AI has brought many new insights into better ways we care for our patients with chronic liver disease, including non-alcoholic fatt...
Diagnostic Imaging Biopsy Non-alcoholic Fatty Liver Disease Liver Cirrhosis Liver Humans Decision Trees Neural Networks, Computer Artificial Intelligence Forecasting Electronic Health Records Logistic Models
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Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

Metabolic syndrome and related disorders Nov 1, 2019
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibr...
Diabetes Mellitus, Type 2 Liver Cirrhosis Hypertension Disease Progression Prevalence Severity of Illness Index Aged Prognosis Metabolic Syndrome Humans Cross-Sectional Studies Adult Retrospective Studies Machine Learning Male Sensitivity and Specificity Algorithms Middle Aged Female Decision Making Non-alcoholic Fatty Liver Disease
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