AIMC Topic: Coronary Artery Disease
Clear Filters Showing 171 to 180 of 525 articles
Extrathoracic Internal Thoracic Artery 20 Years After Robotic Coronary Bypass.
Circulation. Cardiovascular imaging
Jun 7, 2023
Electrocardiogram-based deep learning algorithm for the screening of obstructive coronary artery disease.
BMC cardiovascular disorders
Jun 7, 2023
BACKGROUND: Information on electrocardiogram (ECG) has not been quantified in obstructive coronary artery disease (ObCAD), despite the deep learning (DL) algorithm being proposed as an effective diagnostic tool for acute myocardial infarction (AMI). ...
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.
Medical image analysis
Jun 1, 2023
Quantifying uncertainty of predictions has been identified as one way to develop more trustworthy artificial intelligence (AI) models beyond conventional reporting of performance metrics. When considering their role in a clinical decision support set...
Feasibility of accelerated non-contrast-enhanced whole-heart bSSFP coronary MR angiography by deep learning-constrained compressed sensing.
European radiology
May 20, 2023
OBJECTIVES: To examine a compressed sensing artificial intelligence (CSAI) framework to accelerate image acquisition in non-contrast-enhanced whole-heart bSSFP coronary magnetic resonance (MR) angiography.
Artificial intelligence in coronary artery calcium measurement: Barriers and solutions for implementation into daily practice.
European journal of radiology
May 7, 2023
Coronary artery calcification (CAC) measurement is a valuable predictor of cardiovascular risk. However, its measurement can be time-consuming and complex, thus driving the desire for artificial intelligence (AI)-based approaches. The aim of this rev...
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review.
Computers in biology and medicine
May 6, 2023
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality globally. At early stages, CVDs appear with minor symptoms and progressively get worse. The majority of people experience symptoms such as exhaustion, ...
High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.
AJR. American journal of roentgenology
May 3, 2023
Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assessing the hemodynamic significance of coronary lesions. However, clinical implementation has progressed slowly, partly because of off-site data transfer...
Deep Learning
Predictive Value of Tests
Coronary Angiography
Male
Middle Aged
Computed Tomography Angiography
Coronary Stenosis
Fractional Flow Reserve, Myocardial
Coronary Artery Disease
Reference Standards
Constriction, Pathologic
Algorithms
Retrospective Studies
Reproducibility of Results
Aged
Female
Humans
Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification.
Coronary artery disease
May 1, 2023
BACKGROUND: Artificial intelligence (AI) applied to cardiac imaging may provide improved processing, reading precision and advantages of automation. Coronary artery calcium (CAC) score testing is a standard stratification tool that is rapid and highl...
The feasibility of early detecting coronary artery disease using deep learning-based algorithm based on electrocardiography.
Aging
May 1, 2023
BACKGROUND: Coronary Artery Disease (CAD) is a major cause of morbidity and mortality, yet it is frequently asymptomatic in the early stages and hence goes undetected.
Deep learning to automate SPECT MPI myocardial reorientation.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Apr 26, 2023
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