AIMC Topic: Hemodynamics
Clear Filters Showing 141 to 150 of 174 articles
[Artificial intelligence empowering precision interventional therapy: the rise of computational coronary physiology].
Zhonghua xin xue guan bing za zhi
May 24, 2025
Anatomy-derived 3D Aortic Hemodynamics Using Fluid Physics-informed Deep Learning.
Radiology
May 1, 2025
Background Four-dimensional (4D) flow MRI provides assessment of thoracic aorta hemodynamic measures that are increasingly recognized as important biomarkers for risk assessment. However, long acquisition times and cumbersome data analysis limit wide...
ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime.
PloS one
Jan 1, 2025
High-fidelity numerical simulations such as Computational Fluid Dynamics (CFD) have been proven effective in analysing haemodynamics, offering insight into many vascular conditions. However, these methods often face challenges of high computational c...
Unsupervised Denoising and Super-Resolution of Vascular Flow Data by Physics-Informed Machine Learning.
Journal of biomechanical engineering
Sep 1, 2024
We present an unsupervised deep learning method to perform flow denoising and super-resolution without high-resolution labels. We demonstrate the ability of a single model to reconstruct three-dimensional stenosis and aneurysm flows, with varying geo...
Predicting Hemodynamic and Pulmonary Decompensation with Deep Neural Networks: Performance and Explainability.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Predicting the deterioration of patients' hemodynamic and pulmonary decompensation state while being treated on an intensive care unit is demanding for the medical staff involved. Recent developments in artificial intelligence (AI) show the potential...
Software that combines deep learning, 3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Ultrasound is one of the non-invasive techniques that are used in clinical diagnostics of carotid artery disease.
Pulmonary transit time of cardiovascular magnetic resonance perfusion scans for quantification of cardiopulmonary haemodynamics.
European heart journal. Cardiovascular Imaging
Jul 24, 2023
AIMS: Pulmonary transit time (PTT) is the time blood takes to pass from the right ventricle to the left ventricle via pulmonary circulation. We aimed to quantify PTT in routine cardiovascular magnetic resonance imaging perfusion sequences. PTT may he...
Artificial Intelligence Assisted Multi-modal Photoacoustic-Ultrasound Imaging for Studying Renal Tissue Function and Hemodynamics.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
Combined functional-anatomic imaging modalities, which integrate the benefits of visualizing gross anatomy along with the functional or metabolic information of tissue has revolutionized the world of medical imaging. However, such existing imaging mo...
Deep-learning-based 3D blood flow reconstruction in transmissive laser speckle imaging.
Optics letters
Jun 1, 2023
Transmissive laser speckle imaging (LSI) is useful for monitoring large field-of-view (FOV) blood flow in thick tissues. However, after longer transmissions, the contrast of the transmitted speckle images is more likely to be blurred by multiple scat...
Reducing Geometric Uncertainty in Computational Hemodynamics by Deep Learning-Assisted Parallel-Chain MCMC.
Journal of biomechanical engineering
Dec 1, 2022
Computational hemodynamic modeling has been widely used in cardiovascular research and healthcare. However, the reliability of model predictions is largely dependent on the uncertainties of modeling parameters and boundary conditions, which should be...
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