AIMC Topic: Fatty Liver

Clear Filters Showing 11 to 20 of 94 articles

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...
Fatty Liver Metabolic Diseases Demography Aged Adult Male Cohort Studies ROC Curve Middle Aged Prevalence Humans Machine Learning Female Reproducibility of Results
View on PubMed DOI

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...
Cholesterol, HDL Middle Aged Fatty Liver Nutrition Surveys Non-alcoholic Fatty Liver Disease Adult Cross-Sectional Studies Humans Male Machine Learning Female
View on PubMed DOI

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 ...
Humans Machine Learning Phenotype Female Genome-Wide Association Study Genetic Predisposition to Disease Polymorphism, Single Nucleotide Fatty Liver Male Middle Aged Case-Control Studies
View on PubMed DOI

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...
Tomography, X-Ray Computed Electronic Health Records Female Reproducibility of Results Humans Male Middle Aged Fatty Liver Natural Language Processing Aged Adult Sensitivity and Specificity Emergency Service, Hospital Large Language Models Incidental Findings
View on PubMed DOI

FibrAIm - The machine learning approach to identify the early stage of liver fibrosis and steatosis.

International journal of medical informatics Feb 15, 2025
BACKGROUND: Early recognition of steatosis (fatty liver) and fibrosis in liver health is crucial for effectively managing and preventing the possibility of liver dysfunction. Detecting steatosis helps identify individuals at risk of liver-related dis...
Liver Cirrhosis Non-alcoholic Fatty Liver Disease Diagnosis, Computer-Assisted Fatty Liver Humans Machine Learning
View on PubMed DOI

Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT.

PloS one Feb 13, 2025
PURPOSE: This study aims to explore the potential of non-contrast abdominal CT radiomics and deep learning models in accurately diagnosing fatty liver.
Humans Retrospective Studies Aged Adult Tomography, X-Ray Computed Female Deep Learning ROC Curve Radiomics Fatty Liver Male Liver Middle Aged
View on PubMed DOI

Assessment of ChatGPT-generated medical Arabic responses for patients with metabolic dysfunction-associated steatotic liver disease.

PloS one Feb 3, 2025
BACKGROUND AND AIM: Artificial intelligence (AI)-powered chatbots, such as Chat Generative Pretrained Transformer (ChatGPT), have shown promising results in healthcare settings. These tools can help patients obtain real-time responses to queries, ens...
Fatty Liver Generative Artificial Intelligence Humans Artificial Intelligence Female Middle Aged Surveys and Questionnaires Adult Male
View on PubMed DOI

Development and validation of machine learning models for MASLD: based on multiple potential screening indicators.

Frontiers in endocrinology Jan 21, 2025
BACKGROUND: Multifaceted factors play a crucial role in the prevention and treatment of metabolic dysfunction-associated steatotic liver disease (MASLD). This study aimed to utilize multifaceted indicators to construct MASLD risk prediction machine l...
Middle Aged Risk Assessment Insulin Resistance Fatty Liver Humans Machine Learning Female Risk Factors Adult Male
View on PubMed DOI

Golgi protein 73: charting new territories in diagnosing significant fibrosis in MASLD: a prospective cross-sectional study.

Frontiers in endocrinology Jan 13, 2025
OBJECTIVES: To explore the correlation between serum Golgi protein 73 (GP73) levels and the degree of fibrosis in Metabolic dysfunction associated steatotic liver disease (MASLD); to establish a non-invasive diagnostic algorithm based on serum GP73 a...
Adult Algorithms Cross-Sectional Studies Humans Biomarkers Membrane Proteins ROC Curve Male Female Prospective Studies Fatty Liver Middle Aged Aged Liver Cirrhosis
View on PubMed DOI

HepNet: Deep Neural Network for Classification of Early-Stage Hepatic Steatosis Using Microwave Signals.

IEEE journal of biomedical and health informatics Jan 7, 2025
Hepatic steatosis, a key factor in chronic liver diseases, is difficult to diagnose early. This study introduces a classifier for hepatic steatosis using microwave technology, validated through clinical trials. Our method uses microwave signals and d...
Liver Signal Processing, Computer-Assisted Microwaves Neural Networks, Computer Deep Learning Fatty Liver Humans
View on PubMed DOI
Popular Topics
Recent Journals