AIMC Topic: Coronary Artery Disease

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Identifying semaphorin 3C as a biomarker for sarcopenia and coronary artery disease via bioinformatics and machine learning.

Archives of gerontology and geriatrics Jan 15, 2025
OBJECTIVE: Sarcopenia not only affects patients' quality of life but also may exacerbate the pathological processes of coronary artery disease (CAD). This study aimed to identify potential biomarkers to improve the combined diagnosis and treatment of...
Machine Learning Biomarkers Aged Humans Mendelian Randomization Analysis Coronary Artery Disease Male Semaphorins ROC Curve Computational Biology Sarcopenia
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Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.

The international journal of cardiovascular imaging Jan 13, 2025
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radia...
Coronary Vessels Vascular Calcification Positron Emission Tomography Computed Tomography Radiographic Image Interpretation, Computer-Assisted Female Coronary Artery Disease Reproducibility of Results Automation Aged Male Deep Learning Predictive Value of Tests Coronary Angiography Middle Aged Neoplasms Humans Retrospective Studies
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Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.

Open heart Jan 11, 2025
BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis im...
Coronary Vessels Computed Tomography Angiography Coronary Stenosis Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Algorithms Retrospective Studies Female Reproducibility of Results Middle Aged Humans Severity of Illness Index Artificial Intelligence Predictive Value of Tests Aged Male
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Automated classification of coronary LEsions fRom coronary computed Tomography angiography scans with an updated deep learning model: ALERT study.

European radiology Jan 10, 2025
OBJECTIVES: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagno...
Humans Male Middle Aged Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Female Reproducibility of Results Aged Coronary Artery Disease Observer Variation Computed Tomography Angiography Coronary Stenosis
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Automated stenosis estimation of coronary angiographies using end-to-end learning.

The international journal of cardiovascular imaging Jan 9, 2025
The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consumin...
Automation Coronary Vessels Coronary Stenosis Fractional Flow Reserve, Myocardial Aged Male Humans Middle Aged Coronary Angiography Severity of Illness Index Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Deep Learning Female Coronary Artery Disease Predictive Value of Tests Reproducibility of Results
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Clinical Validation of a Deep Learning Algorithm for Automated Coronary Artery Disease Detection and Classification Using a Heterogeneous Multivendor Coronary Computed Tomography Angiography Data Set.

Journal of thoracic imaging Jan 1, 2025
PURPOSE: We sought to clinically validate a fully automated deep learning (DL) algorithm for coronary artery disease (CAD) detection and classification in a heterogeneous multivendor cardiac computed tomography angiography data set.
Humans Middle Aged Retrospective Studies Aged Algorithms Coronary Angiography Adult Deep Learning Female Coronary Artery Disease Sensitivity and Specificity Reproducibility of Results Computed Tomography Angiography Male
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Integrating EPSOSA-BP neural network algorithm for enhanced accuracy and robustness in optimizing coronary artery disease prediction.

Scientific reports Dec 28, 2024
Coronary artery disease represents a formidable health threat to middle-aged and elderly populations worldwide. This research introduces an advanced BP neural network algorithm, EPSOSA-BP, which integrates particle swarm optimization, simulated annea...
Neural Networks, Computer Algorithms Principal Component Analysis Coronary Artery Disease Humans
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Leveraging fuzzy embedded wavelet neural network with multi-criteria decision-making approach for coronary artery disease prediction using biomedical data.

Scientific reports Dec 28, 2024
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is linked with many risk factors and a variety of symptoms. In the past few years, CAD has experienced a remarkable growth. Prompt risk prediction of CAD wou...
Clinical Decision-Making Fuzzy Logic Humans Decision Making Neural Networks, Computer Wavelet Analysis Coronary Artery Disease Machine Learning Algorithms
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AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.

Atherosclerosis Dec 22, 2024
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of ar...
Risk Assessment Humans Radiographic Image Interpretation, Computer-Assisted Heart Ventricles Deep Learning Female Artificial Intelligence Aged Prognosis Vascular Calcification Predictive Value of Tests Male Tomography, X-Ray Computed Coronary Artery Disease Asymptomatic Diseases Coronary Angiography Middle Aged
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Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK Biobank.

Atherosclerosis Dec 18, 2024
BACKGROUND AND AIMS: An in silico quantitative score of coronary artery disease (ISCAD), built using machine learning and clinical data from electronic health records, has been shown to result in gradations of risk of subclinical atherosclerosis, cor...
Coronary Artery Disease Humans Female Biological Specimen Banks Middle Aged Machine Learning United Kingdom Risk Factors Risk Assessment Biomarkers UK Biobank Aged Metabolomics Prognosis Male Predictive Value of Tests
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