"Models, Cardiovascular" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Theoretical representations that simulate the behavior or activity of the cardiovascular system, processes, or phenomena; includes the use of mathematical equations, computers and other electronic equipment.
| Descriptor ID |
D008955
|
| MeSH Number(s) |
E05.599.395.161
|
| Concept/Terms |
|
Below are MeSH descriptors whose meaning is more general than "Models, Cardiovascular".
Below are MeSH descriptors whose meaning is more specific than "Models, Cardiovascular".
This graph shows the total number of publications written about "Models, Cardiovascular" by people in this website by year, and whether "Models, Cardiovascular" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1995 | 0 | 3 | 3 |
| 1996 | 1 | 0 | 1 |
| 1997 | 0 | 1 | 1 |
| 1998 | 1 | 2 | 3 |
| 1999 | 0 | 1 | 1 |
| 2002 | 2 | 0 | 2 |
| 2003 | 1 | 5 | 6 |
| 2004 | 0 | 10 | 10 |
| 2005 | 1 | 2 | 3 |
| 2006 | 3 | 3 | 6 |
| 2007 | 1 | 4 | 5 |
| 2008 | 6 | 3 | 9 |
| 2009 | 1 | 3 | 4 |
| 2010 | 2 | 3 | 5 |
| 2011 | 4 | 2 | 6 |
| 2012 | 5 | 0 | 5 |
| 2013 | 3 | 3 | 6 |
| 2014 | 3 | 5 | 8 |
| 2015 | 3 | 2 | 5 |
| 2016 | 1 | 2 | 3 |
| 2017 | 3 | 2 | 5 |
| 2018 | 5 | 3 | 8 |
| 2019 | 1 | 1 | 2 |
| 2020 | 2 | 6 | 8 |
| 2021 | 0 | 1 | 1 |
| 2022 | 1 | 0 | 1 |
| 2023 | 0 | 1 | 1 |
| 2024 | 2 | 2 | 4 |
| 2025 | 4 | 0 | 4 |
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Below are the most recent publications written about "Models, Cardiovascular" by people in Profiles.
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Generation of personalized synthetic 3-dimensional inlet velocity profiles for computational fluid dynamics simulations of type B aortic dissection. Comput Biol Med. 2025 Jun; 191:110158.
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Parameter selection and optimization of a computational network model of blood flow in single-ventricle patients. J R Soc Interface. 2025 Feb; 22(223):20240663.
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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. J Cardiovasc Comput Tomogr. 2025 Mar-Apr; 19(2):232-246.
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Fluid-structure interaction simulations for the prediction of fractional flow reserve in pediatric patients with anomalous aortic origin of a coronary artery. Med Eng Phys. 2025 Feb; 136:104293.
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Intraoperative position system guided with augmented reality improves the learning curve of endovascular navigation in endovascular-na?ve operators. J Vasc Surg. 2025 Mar; 81(3):759-763.
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Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images. J Physiol. 2024 Aug; 602(16):3929-3954.
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Measurement of left ventricular volume with admittance incorporated onto percutaneous ventricular assist device. Med Biol Eng Comput. 2024 Dec; 62(12):3737-3747.
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Finite element modeling with patient-specific geometry to assess clinical risks of percutaneous pulmonary valve implantation. Catheter Cardiovasc Interv. 2024 05; 103(6):924-933.
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Evaluation of a deep learning-enabled automated computational heart modelling workflow for personalized assessment of ventricular arrhythmias. J Physiol. 2024 Sep; 602(18):4625-4644.
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Semi-Automated Construction of Patient-Specific Aortic Valves from Computed Tomography Images. Ann Biomed Eng. 2023 Jan; 51(1):189-199.