AIMC Topic: Fatty Liver

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Identifying disease progression biomarkers in metabolic associated steatotic liver disease (MASLD) through weighted gene co-expression network analysis and machine learning.

Journal of translational medicine Apr 24, 2025
BACKGROUND: Metabolic Associated Steatotic Liver Disease (MASLD), encompassing conditions simple liver steatosis (MAFL) and metabolic associated steatohepatitis (MASH), is the most prevalent chronic liver disease. Currently, the management of MASLD i...
Protein Interaction Maps Gene Regulatory Networks Fatty Liver Nomograms Animals Gene Expression Regulation Disease Progression Gene Ontology Gene Expression Profiling ROC Curve Humans Machine Learning Biomarkers Reproducibility of Results
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ASS1 is a hub gene and possible therapeutic target for regulating metabolic dysfunction-associated steatotic liver disease modulated by a carbohydrate-restricted diet.

Molecular diversity Apr 17, 2025
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of chronic liver disease globally. A low-carbohydrate diet (LCD) offers benefits to MASLD patients, albeit its exact mechanism is not fully understood. Using public...
Protein Interaction Maps Fatty Liver Gene Expression Regulation Diet, Carbohydrate-Restricted Argininosuccinate Synthase Humans Machine Learning Gene Expression Profiling Transcriptome
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Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associated fatty liver disease using vibration-controlled transient elastography: Result from NHANES 2021-2023.

BMC gastroenterology Apr 14, 2025
BACKGROUND: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a common chronic liver disease and represents a significant public health issue. Nevertheless, current risk stratification methods remain inadequate. The study aimed to use m...
Non-alcoholic Fatty Liver Disease Vibration Elasticity Imaging Techniques Risk Assessment ROC Curve Fatty Liver Nutrition Surveys Humans Risk Factors Machine Learning Adult Female Male Middle Aged
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AI-enabled opportunistic measurement of liver steatosis in coronary artery calcium scans predicts cardiovascular events and all-cause mortality: an AI-CVD study within the Multi-Ethnic Study of Atherosclerosis (MESA).

BMJ open diabetes research & care Apr 12, 2025
INTRODUCTION: About one-third of adults in the USA have some grade of hepatic steatosis. Coronary artery calcium (CAC) scans contain more information than currently reported. We previously reported new artificial intelligence (AI) algorithms applied ...
Fatty Liver United States Follow-Up Studies Coronary Artery Disease Aged Male Cardiovascular Diseases Middle Aged Vascular Calcification Atherosclerosis Calcium Ethnicity Coronary Vessels Humans Prognosis Female Risk Factors Artificial Intelligence Algorithms
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Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods.

Scientific reports Apr 11, 2025
Early and accurate identification of patients at high risk of metabolic dysfunction-associated steatotic liver disease (MASLD) is critical to prevent and improve prognosis potentially. We aimed to develop and validate an explainable prediction model ...
Humans Machine Learning Algorithms Female Nutrition Surveys Area Under Curve Elasticity Imaging Techniques Male Middle Aged ROC Curve Risk Factors Fatty Liver Aged Adult Cross-Sectional Studies
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Automated Whole-Liver Fat Quantification with Magnetic Resonance Imaging-Derived Proton Density Fat Fraction Map: A Prospective Study in Taiwan.

Gut and liver Apr 1, 2025
BACKGROUND/AIMS: Magnetic resonance imaging (MRI) with a proton density fat fraction (PDFF) sequence is the most accurate, noninvasive method for assessing hepatic steatosis. However, manual measurement on the PDFF map is time-consuming. This study a...
Taiwan Adipose Tissue Non-alcoholic Fatty Liver Disease Magnetic Resonance Spectroscopy Humans Middle Aged Aged Fatty Liver Adult Magnetic Resonance Imaging Prospective Studies Male Liver Female
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Machine learning models for predicting metabolic dysfunction-associated steatotic liver disease prevalence using basic demographic and clinical characteristics.

Journal of translational medicine Mar 28, 2025
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a global health concern that necessitates early screening and timely intervention to improve prognosis. The current diagnostic protocols for MASLD involve complex procedu...
Metabolic Diseases Demography Prevalence Reproducibility of Results Cohort Studies Aged ROC Curve Adult Fatty Liver Humans Male Machine Learning Middle Aged Female
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Machine learning for predicting metabolic-associated fatty liver disease including NHHR: a cross-sectional NHANES study.

PloS one Mar 18, 2025
OBJECTIVE: Metabolic - associated fatty liver disease (MAFLD) is a common hepatic disorder with increasing prevalence, and early detection remains inadequately achieved. This study aims to explore the relationship between the non-high-density lipopro...
Nutrition Surveys Cross-Sectional Studies Non-alcoholic Fatty Liver Disease Humans Male Cholesterol, HDL Machine Learning Middle Aged Female Fatty Liver Adult
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Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease.

Genome biology Mar 10, 2025
BACKGROUND: Genome-wide association studies (GWAS) have identified common variants associated with metabolic dysfunction-associated steatotic liver disease (MASLD). However, rare coding variant studies have been limited by phenotyping challenges and ...
Phenotype Female Male Middle Aged Genetic Predisposition to Disease Polymorphism, Single Nucleotide Fatty Liver Case-Control Studies Genome-Wide Association Study Humans Machine Learning
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Automated identification of incidental hepatic steatosis on Emergency Department imaging using large language models.

Hepatology communications Feb 19, 2025
BACKGROUND: Hepatic steatosis is a precursor to more severe liver disease, increasing morbidity and mortality risks. In the Emergency Department, routine abdominal imaging often reveals incidental hepatic steatosis that goes undiagnosed due to the ac...
Fatty Liver Natural Language Processing Emergency Service, Hospital Large Language Models Adult Incidental Findings Humans Sensitivity and Specificity Female Male Tomography, X-Ray Computed Reproducibility of Results Middle Aged Electronic Health Records Aged
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