AIMC Topic: Coronary Artery Disease

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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.
Coronary Vessels Coronary Circulation Middle Aged Image Processing, Computer-Assisted Coronary Artery Disease Calcium Humans Artificial Intelligence Prognosis Retrospective Studies Tomography, X-Ray Computed Female Aged Male
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HAGMN-UQ: Hyper association graph matching network with uncertainty quantification for coronary artery semantic labeling.

Medical image analysis Oct 11, 2024
Coronary artery disease (CAD) is one of the leading causes of death worldwide. Accurate extraction of individual arterial branches from invasive coronary angiograms (ICA) is critical for CAD diagnosis and detection of stenosis. Generating semantic se...
Uncertainty Algorithms Deep Learning Coronary Angiography Coronary Artery Disease Semantics Humans Neural Networks, Computer
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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...
Computed Tomography Angiography Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Multidetector Computed Tomography Vascular Calcification Phantoms, Imaging Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Humans Retrospective Studies Female
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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...
Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Humans Artificial Intelligence Prospective Studies Running Athletes Coronary Vessels Asymptomatic Diseases Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Stenosis Fractional Flow Reserve, Myocardial
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Coronary artery disease detection using deep learning and ultrahigh-resolution photon-counting coronary CT angiography.

Diagnostic and interventional imaging Oct 4, 2024
PURPOSE: The purpose of this study was to evaluate the diagnostic performance of automated deep learning in the detection of coronary artery disease (CAD) on photon-counting coronary CT angiography (PC-CCTA).
Humans Retrospective Studies Female Deep Learning Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Photons Aged Sensitivity and Specificity Male 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...
Deep Learning Aged Age Factors Male Predictive Value of Tests Middle Aged Coronary Angiography Risk Assessment Coronary Artery Disease Humans Myocardial Infarction Prognosis Sex Factors Female Coronary Vessels Risk Factors Plaque, Atherosclerotic Computed Tomography Angiography
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Predicting Individual Treatment Effects to Determine Duration of Dual Antiplatelet Therapy After Stent Implantation.

Journal of the American Heart Association Sep 30, 2024
BACKGROUND: After coronary stent implantation, prolonged dual antiplatelet therapy (DAPT) increases bleeding risk, requiring personalization of DAPT duration. The aim of this study was to develop and validate a machine learning model to predict optim...
Risk Factors Aged Male Middle Aged Risk Assessment Humans Machine Learning Female Hemorrhage Drug Administration Schedule Platelet Aggregation Inhibitors Drug-Eluting Stents Dual Anti-Platelet Therapy Time Factors Treatment Outcome Percutaneous Coronary Intervention Coronary Artery Disease
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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 ...
Deep Learning Coronary Angiography Coronary Artery Disease Coronary Vessels Fractional Flow Reserve, Myocardial Humans Female Male Middle Aged
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Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients' electrocardiograms.

Cell reports. Medicine Sep 25, 2024
We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and assess its prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emission tomography (PET...
Humans Machine Learning Prognosis Female Aged Male Middle Aged ROC Curve Electrocardiography Coronary Artery Disease Positron-Emission Tomography Tomography, Emission-Computed, Single-Photon Coronary Circulation
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Exploration of fractional flow reservation score based on artificial intelligence post-processing for coronary artery lesions in patients with diabetes and coronary heart disease.

SLAS technology Sep 21, 2024
In order to evaluate the relationship between coronary heart disease (CHD) and fractional flow reservation (FFR) in patients with different levels of CHD and diabetes, this paper used AI (artificial intelligence) post-processing technology to detect ...
Fractional Flow Reserve, Myocardial Middle Aged Image Processing, Computer-Assisted Diabetes Mellitus Coronary Angiography Coronary Artery Disease Coronary Vessels Coronary Disease Computed Tomography Angiography Coronary Stenosis Humans Artificial Intelligence Female Aged Male
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