AIMC Topic: Coronary Vessels

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Automated Classification of Coronary Plaque on Intravascular Ultrasound by Deep Classifier Cascades.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Intravascular ultrasound (IVUS) is the gold standard modality for in vivo visualization of coronary arteries and atherosclerotic plaques. Classification of coronary plaques helps to characterize heterogeneous components and evaluate the risk of plaqu...
Plaque, Atherosclerotic Ultrasonography, Interventional Coronary Artery Disease Image Interpretation, Computer-Assisted Coronary Vessels Humans Algorithms Deep Learning
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Impact of tooth loss and patient characteristics on coronary artery calcium score classification and prediction.

Scientific reports Nov 16, 2024
This study, for the first time, explores the integration of data science and machine learning for the classification and prediction of coronary artery calcium (CAC) scores. It focuses on tooth loss and patient characteristics as key input features to...
Tooth Loss Risk Factors Aged Adult Humans Male Calcium Middle Aged Machine Learning Female Coronary Artery Disease Coronary Vessels Vascular Calcification
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Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI: The FLASH Trial.

JACC. Cardiovascular interventions Oct 30, 2024
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor.
Aged Male Middle Aged Time Factors Tomography, Optical Coherence Coronary Angiography Percutaneous Coronary Intervention Treatment Outcome Artificial Intelligence Predictive Value of Tests Coronary Vessels Humans Coronary Artery Disease Prospective Studies Stents Republic of Korea Image Interpretation, Computer-Assisted Female Automation
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Meta-analysis of deep learning approaches for automated coronary artery calcium scoring: Performance and clinical utility AI in CAC scoring: A meta-analysis: AI in CAC scoring: A meta-analysis.

Computers in biology and medicine Oct 23, 2024
INTRODUCTION: Manual Coronary Artery Calcium (CAC) scoring, crucial for assessing coronary artery disease risk, is time-consuming and variable. Deep learning, particularly through Convolutional Neural Networks (CNNs), promises to automate and enhance...
Artificial Intelligence Deep Learning Coronary Artery Disease Calcium Coronary Vessels Humans Vascular Calcification
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Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis.

European journal of nuclear medicine and molecular imaging Oct 15, 2024
PURPOSE: This study aimed to test whether the coronary artery calcium (CAC) burden on attenuation correction computed tomography (CTac), measured using artificial intelligence (AI-CACac), correlates with coronary flow capacity (CFC) and prognosis.
Artificial Intelligence Prognosis Retrospective Studies Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Coronary Artery Disease Calcium Coronary Vessels Coronary Circulation Female Aged Male Middle Aged
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Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery disease.

Journal of cardiovascular computed tomography Oct 8, 2024
BACKGROUND: The aim of this study to compare of the image quality of calcified lesions in coronary artery disease between deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR) on energy-integrating detector (EID) based ul...
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Multidetector Computed Tomography Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Vascular Calcification Phantoms, Imaging Computed Tomography Angiography Humans Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged
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Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.

The international journal of cardiovascular imaging Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Athletes Coronary Vessels Reproducibility of Results Asymptomatic Diseases Humans Aged Artificial Intelligence Coronary Artery Disease Male Prospective Studies Running Middle Aged
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Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.

Circulation. Cardiovascular imaging Sep 30, 2024
BACKGROUND: Plaque quantification from coronary computed tomography angiography has emerged as a valuable predictor of cardiovascular risk. Deep learning can provide automated quantification of coronary plaque from computed tomography angiography. We...
Plaque, Atherosclerotic Computed Tomography Angiography Deep Learning Age Factors Predictive Value of Tests Coronary Angiography Coronary Artery Disease Aged Myocardial Infarction Male Sex Factors Middle Aged Coronary Vessels Risk Assessment Humans Prognosis Female Risk Factors
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Predicting coronary artery occlusion risk from noninvasive images by combining CFD-FSI, cGAN and CNN.

Scientific reports Sep 30, 2024
Wall Shear Stress (WSS) is one of the most important parameters used in cardiovascular fluid mechanics, and it provides a lot of information like the risk level caused by any vascular occlusion. Since WSS cannot be measured directly and other availab...
Male Magnetic Resonance Imaging Coronary Vessels Humans Hydrodynamics Neural Networks, Computer Stress, Mechanical Coronary Occlusion Models, Cardiovascular
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AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation.

International journal of cardiology Sep 26, 2024
BACKGROUND: Quantitative coronary angiography (QCA) typically employs traditional edge detection algorithms that often require manual correction. This has important implications for the accuracy of downstream 3D coronary reconstructions and computed ...
Coronary Artery Disease Coronary Vessels Fractional Flow Reserve, Myocardial Female Male Middle Aged Deep Learning Coronary Angiography Humans
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