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Models, Cardiovascular

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Artificial intelligence modeling of vascular calcification.

Acta biochimica et biophysica Sinica Dec 11, 2020
Humans Artificial Intelligence Vascular Calcification Models, Cardiovascular
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Inverse mechano-electrical reconstruction of cardiac excitation wave patterns from mechanical deformation using deep learning.

Chaos (Woodbury, N.Y.) Dec 1, 2020
The inverse mechano-electrical problem in cardiac electrophysiology is the attempt to reconstruct electrical excitation or action potential wave patterns from the heart's mechanical deformation that occurs in response to electrical excitation. Becaus...
Computer Simulation Models, Cardiovascular Deep Learning Action Potentials Myocytes, Cardiac Electricity
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Neural Network Vessel Lumen Regression for Automated Lumen Cross-Section Segmentation in Cardiovascular Image-Based Modeling.

Cardiovascular engineering and technology Dec 1, 2020
PURPOSE: We accelerate a pathline-based cardiovascular model building method by training machine learning models to directly predict vessel lumen surface points from computed tomography (CT) and magnetic resonance (MR) medical image data.
Models, Cardiovascular Patient-Specific Modeling Blood Vessels Radiographic Image Interpretation, Computer-Assisted Automation Magnetic Resonance Angiography Computed Tomography Angiography Neural Networks, Computer Humans Reproducibility of Results Diagnosis, Computer-Assisted Predictive Value of Tests
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Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Nov 1, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Plaque, Atherosclerotic Models, Cardiovascular Coronary Angiography Risk Factors Ultrasonography, Interventional Biomechanical Phenomena Linear Models Male Humans Coronary Vessels Middle Aged Machine Learning Imaging, Three-Dimensional Ultrasonography Female Support Vector Machine ROC Curve Area Under Curve
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Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning.

Scientific reports Sep 14, 2020
Cardiac and aortic characteristics are crucial for cardiovascular disease detection. However, noninvasive estimation of aortic hemodynamics and cardiac contractility is still challenging. This paper investigated the potential of estimating aortic sys...
Aorta Models, Cardiovascular Myocardial Contraction Humans Machine Learning Hemodynamics Heart
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Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network.

Medical & biological engineering & computing Sep 1, 2020
We purpose a novel method that combines modified frequency slice wavelet transform (MFSWT) and convolutional neural network (CNN) for classifying normal and abnormal heart sounds. A hidden Markov model is used to find the position of each cardiac cyc...
Heart Sounds Phonocardiography Humans Algorithms Neural Networks, Computer Cardiovascular Diseases Markov Chains Diagnosis, Computer-Assisted Wavelet Analysis Signal Processing, Computer-Assisted Models, Cardiovascular Biomedical Engineering
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Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps.

Computer methods in biomechanics and biomedical engineering Sep 1, 2020
Cardiovascular diseases (CVD) and strokes produce immense health and economic burdens globally. Coronary Artery Disease (CAD) is the most common type of cardiovascular disease. Coronary Angiography, which is an invasive approach for detection and tre...
Male ROC Curve Decision Support Systems, Clinical Fuzzy Logic Coronary Artery Disease Humans Databases as Topic Algorithms Models, Cardiovascular Female
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Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.

Circulation. Arrhythmia and electrophysiology Jul 1, 2020
BACKGROUND: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation procedures. The goal of this study was to develop and evaluate a m...
Magnetic Resonance Imaging Action Potentials Predictive Value of Tests Atrial Fibrillation Heart Rate Catheter Ablation Proof of Concept Study Organometallic Compounds Machine Learning Risk Assessment Retrospective Studies Diagnosis, Computer-Assisted Risk Factors Female Treatment Outcome Reproducibility of Results Meglumine Aged Contrast Media Recurrence Male Humans Models, Cardiovascular Middle Aged Patient-Specific Modeling Pulmonary Veins
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Patient-specific three-dimensional aortic arch modeling for automatic measurements: clinical validation in aortic coarctation.

Journal of cardiovascular medicine (Hagerstown, Md.) Jul 1, 2020
AIM: A validated algorithm for automatic aortic arch measurements in aortic coarctation (CoA) patients could standardize procedures for clinical planning.
Software Retrospective Studies Female Reproducibility of Results Humans Machine Learning Child Imaging, Three-Dimensional Predictive Value of Tests Automation Aorta, Thoracic Young Adult Adult Male Adolescent Magnetic Resonance Angiography Models, Cardiovascular Patient-Specific Modeling Aortic Coarctation
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A novel machine learning based computational framework for homogenization of heterogeneous soft materials: application to liver tissue.

Biomechanics and modeling in mechanobiology Jun 1, 2020
Real-time simulation of organs increases comfort and safety for patients during the surgery. Proper generalized decomposition (PGD) is an efficient numerical method with coordinate errors below 1 mm and response time below 0.1 s that can be used for ...
Anisotropy Liver Models, Biological Stress, Mechanical Humans Computer Simulation Materials Testing Elasticity Neural Networks, Computer Animals Nonlinear Dynamics Finite Element Analysis Machine Learning Swine Models, Cardiovascular Imaging, Three-Dimensional Algorithms
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