AIMC Topic: Models, Cardiovascular

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Optimization of hemocompatibility metrics in ventricular assist device design using machine learning and CFD-based response surface analysis.

The International journal of artificial organs Jun 6, 2025
Ventricular assist devices (VADs) are essential for end-stage heart failure patients, but their design must balance hydraulic efficiency and hemocompatibility to minimize blood damage. This study presents a multi-objective optimization framework inte...
Bayes Theorem Prosthesis Design Heart Failure Humans Machine Learning Computer Simulation Platelet Activation Materials Testing Heart-Assist Devices Stress, Mechanical Hemolysis Hydrodynamics Models, Cardiovascular
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Multiscale simulations that incorporate patient-specific neural network models of platelet calcium signaling predict diverse thrombotic outcomes under flow.

PLoS computational biology May 6, 2025
During thrombosis, platelets rapidly deposit and activate on the vessel wall, driving conditions such as myocardial infarction and stroke. The complexity of thrombus formation in pathological flow geometries, along with patient-specific pharmacologic...
Monte Carlo Method Models, Cardiovascular Calcium Signaling Computational Biology Thrombosis Blood Platelets Humans Neural Networks, Computer Computer Simulation
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Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates.

Computers in biology and medicine May 4, 2025
A cardiac digital twin is a virtual replica of a patient-specific heart, mimicking its anatomy and physiology. A crucial step of building a cardiac digital twin is anatomical twinning, where the computational mesh of the digital twin is tailored to t...
Heart Ventricles Models, Cardiovascular Middle Aged Electrocardiography Heart Female Humans Adult Tomography, X-Ray Computed Male
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Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem.

BMC cardiovascular disorders Apr 28, 2025
BACKGROUND: The risk stratification and prognosis of cardiac arrhythmia depend on the individual condition of patients, while invasive diagnostic methods may be risky to patient health, and current non-invasive diagnostic methods are applicable to fe...
Body Surface Potential Mapping Electrophysiologic Techniques, Cardiac Electrocardiography Action Potentials Predictive Value of Tests Arrhythmias, Cardiac Computer Simulation Heart Rate Humans Reproducibility of Results Neural Networks, Computer Deep Learning Models, Cardiovascular
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InVAErt networks for amortized inference and identifiability analysis of lumped-parameter haemodynamic models.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Apr 2, 2025
Estimation of cardiovascular model parameters from electronic health records (EHRs) poses a significant challenge primarily due to lack of identifiability. Structural non-identifiability arises when a manifold in the space of parameters is mapped to ...
Hemodynamics Bayes Theorem Models, Cardiovascular Humans Neural Networks, Computer Electronic Health Records
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Role of physics-informed constraints in real-time estimation of 3D vascular fluid dynamics using multi-case neural network.

Computers in biology and medicine Mar 26, 2025
Numerical simulations of fluid dynamics in tube-like structures are important to biomedical research to model flow in blood vessels and airways. It is further useful to some clinical applications, such as predicting arterial fractional flow reserves,...
Pulsatile Flow Blood Flow Velocity Hydrodynamics Models, Cardiovascular Computer Simulation Hemodynamics Humans Neural Networks, Computer
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CardiOT: Towards Interpretable Drug Cardiotoxicity Prediction Using Optimal Transport and Kolmogorov--Arnold Networks.

IEEE journal of biomedical and health informatics Mar 6, 2025
Investigating the inhibitory effects of compounds on cardiac ion channels is essential for assessing cardiac drug safety. Consequently, researchers have developed computational models to evaluate combined cardiotoxicity (CCT) on cardiac ion channels....
Humans Neural Networks, Computer Computational Biology Models, Cardiovascular Cardiotoxicity Ion Channels
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Constitutive neural networks for main pulmonary arteries: discovering the undiscovered.

Biomechanics and modeling in mechanobiology Feb 24, 2025
Accurate modeling of cardiovascular tissues is crucial for understanding and predicting their behavior in various physiological and pathological conditions. In this study, we specifically focus on the pulmonary artery in the context of the Ross proce...
Pulmonary Artery Biomechanical Phenomena Anisotropy Humans Stress, Mechanical Models, Cardiovascular Neural Networks, Computer
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Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis.

Journal of cardiovascular computed tomography Feb 22, 2025
BACKGROUND: As a new noninvasive diagnostic technique, computed tomography-derived fraction flow reserve (FFRCT) has been used to identify hemodynamically significant coronary artery stenosis. FFRCT can be calculated using computational fluid dynamic...
Coronary Artery Disease Humans Machine Learning Coronary Vessels Reproducibility of Results Hydrodynamics Predictive Value of Tests Fractional Flow Reserve, Myocardial Computed Tomography Angiography Severity of Illness Index Coronary Angiography Models, Cardiovascular Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis
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Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD.

Medical & biological engineering & computing Feb 17, 2025
Aortic aneurysms pose a significant risk of rupture. Previous research has shown that areas exposed to low wall shear stress (WSS) are more prone to rupture. Therefore, precise WSS determination on the aneurysm is crucial for rupture risk assessment....
Humans Stress, Mechanical Hydrodynamics Models, Cardiovascular Hemodynamics Deep Learning Aortic Aneurysm, Abdominal
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