AIMC Topic: Coronary Artery Disease
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Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapy.
Scientific reports
Feb 13, 2025
Low-density lipoprotein cholesterol (LDL-C) is an important factor in the development of cardiovascular disease, making its management a key aspect of cardiovascular health. While high-dose statin therapy is often recommended for LDL-C reduction, car...
TQGDNet: Coronary artery calcium deposit detection on computed tomography.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Feb 6, 2025
Coronary artery disease (CAD) continues to be a leading global cause of cardiovascular related mortality. The scoring of coronary artery calcium (CAC) using computer tomography (CT) images is a diagnostic instrument for evaluating the risk of asympto...
Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans.
Journal of cardiovascular computed tomography
Feb 4, 2025
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coro...
Humans
Machine Learning
Pericardium
Epicardial Adipose Tissue
Coronary Vessels
Vascular Calcification
Middle Aged
Computed Tomography Angiography
Risk Assessment
Reproducibility of Results
Severity of Illness Index
Risk Factors
Adipose Tissue
Decision Support Techniques
Aged
Predictive Value of Tests
Male
Prognosis
Coronary Angiography
Female
Coronary Artery Disease
A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.
Medical & biological engineering & computing
Jan 31, 2025
The lumen centerline of the coronary artery allows vessel reconstruction used to detect stenoses and plaques. Discrete-action-based centerline extraction methods suffer from artifacts and plaques. This study aimed to develop a continuous-action-based...
Segmentation of coronary artery and calcification using prior knowledge based deep learning framework.
Medical physics
Jan 29, 2025
BACKGROUND: Computed tomography angiography (CTA) is used to screen for coronary artery calcification. As the coronary artery has complicated structure and tiny lumen, manual screening is a time-consuming task. Recently, many deep learning methods ha...
Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.
The international journal of cardiovascular imaging
Jan 29, 2025
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MP...
Identification of biomarkers associated with coronary artery disease and non-alcoholic fatty liver disease by bioinformatics analysis and machine learning.
Scientific reports
Jan 28, 2025
The constantly emerging evidence indicates a close association between coronary artery disease (CAD) and non-alcoholic fatty liver disease (NAFLD). However, the exact mechanisms underlying their mutual relationship remain undefined. This study aims t...
Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection.
BMC health services research
Jan 20, 2025
Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG), alleviate symptoms and treat myocardial ischemia. Patients with multivessel disease, particularly those undergoing 3-vessel PCI,...
Integrative bioinformatics and machine learning approach unveils potential biomarkers linking coronary atherosclerosis and fatty acid metabolism-associated gene.
Journal of cardiothoracic surgery
Jan 17, 2025
BACKGROUND: Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly compromises vascular health and acts as a major contributor to cardiovascular diseases. Advancements in lipidomics and metabolomics have ...
Artificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study.
PloS one
Jan 17, 2025
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolutional neural network, to improve the identification of left ventricular walls in images of myocardial perfusion scintigraphy, with the objective of im...
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