AIMC Topic: Coronary Artery Disease
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Automatic coronary plaque detection, classification, and stenosis grading using deep learning and radiomics on computed tomography angiography images: a multi-center multi-vendor study.
European radiology
Mar 15, 2022
OBJECTIVES: An automatic system utilizing both the advantages of the neural network and the radiomics was proposed for coronary plaque detection, classification, and stenosis grading.
Multi-task Deep Learning of Myocardial Blood Flow and Cardiovascular Risk Traits from PET Myocardial Perfusion Imaging.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Mar 10, 2022
BACKGROUND: Advanced cardiac imaging with positron emission tomography (PET) is a powerful tool for the evaluation of known or suspected cardiovascular disease. Deep learning (DL) offers the possibility to abstract highly complex patterns to optimize...
Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion.
European journal of nuclear medicine and molecular imaging
Feb 23, 2022
PURPOSE: To evaluate the diagnostic accuracy of a deep learning (DL) algorithm predicting hemodynamically significant coronary artery disease (CAD) by using a rest dataset of myocardial computed tomography perfusion (CTP) as compared to invasive eval...
Long-Term Efficacy of Colchicine in Patients With Chronic Coronary Disease: Insights From LoDoCo2.
Circulation
Feb 21, 2022
Are You a Robot?: Please Select the Images Containing Unstable Plaque.
JACC. Cardiovascular imaging
Feb 16, 2022
Construction of genetic classification model for coronary atherosclerosis heart disease using three machine learning methods.
BMC cardiovascular disorders
Feb 12, 2022
BACKGROUND: Although the diagnostic method for coronary atherosclerosis heart disease (CAD) is constantly innovated, CAD in the early stage is still missed diagnosis for the absence of any symptoms. The gene expression levels varied during disease de...
Deep learning segmentation and quantification method for assessing epicardial adipose tissue in CT calcium score scans.
Scientific reports
Feb 10, 2022
Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the risk of major adverse cardiac events. As manual quantification of EAT is time-consuming, requires specialized training, and is prone to human error, we develope...
Assessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: A retrospective analysis of electronic health records using Natural Language Processing.
PloS one
Feb 10, 2022
INTRODUCTION AND OBJECTIVES: Patients with type 2 diabetes (T2D) and stable coronary artery disease (CAD) previously revascularized with percutaneous coronary intervention (PCI) are at high risk of recurrent ischemic events. We aimed to provide real-...
Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions.
Computational and mathematical methods in medicine
Feb 3, 2022
One of the leading causes of deaths around the globe is heart disease. Heart is an organ that is responsible for the supply of blood to each part of the body. Coronary artery disease (CAD) and chronic heart failure (CHF) often lead to heart attack. T...
Evaluation of a deep learning model on coronary CT angiography for automatic stenosis detection.
Diagnostic and interventional imaging
Jan 26, 2022
PURPOSE: The purpose of this study was to evaluate a deep-learning model (DLM) for classifying coronary arteries on coronary computed tomography -angiography (CCTA) using the Coronary Artery Disease-Reporting and Data System (CAD-RADS).
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