ReviewBiology2023
Modeling Dynamics of the Cardiovascular System Using Fluid-Structure Interaction Methods.
Review in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Fusing photoacoustic microscopy and ultrasound imaging: an artificial intelligence strategy for vessel enhancement in interventional guidance.Biomedical optics express · 2026Article
- Toward Digital Twins for Optimal Radioembolization.PET clinics · 2026Review
- Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties.PLoS computational biology · 2025Article
- Multiscale and recursive unmixing of spatiotemporal rhythms for live-cell and intravital cardiac microscopy.Nature cardiovascular research · 2025Article
- Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics.Frontiers in cardiovascular medicine · 2025Article
- The effects of carotid plaque classification and bifurcation angle on plaque: a computational fluid dynamics simulation.Frontiers in physiology · 2025Article
- Computational modeling of drug-eluting balloons in peripheral artery disease: Mechanisms, optimization, and translational insights.Computational and structural biotechnology journal · 2025Review
- Smoothed particle hydrodynamics based FSI simulation of the native and mechanical heart valves in a patient-specific aortic model.Scientific reports · 2024Article
- Engineering innovations in medicine and biology: Revolutionizing patient care through mechanical solutions.Heliyon · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using fluid-structure interaction algorithms to simulate the human circulatory system is an innovative approach that can provide valuable insights into cardiovascular dynamics. Fluid-structure interaction algorithms enable us to couple simulations of blood flow and mechanical responses of the blood vessels while taking into account interactions between fluid dynamics and structural behaviors of vessel walls, heart walls, or valves. In the context of the human circulatory system, these algorithms offer a more comprehensive representation by considering the complex interplay between blood flow and the elasticity of blood vessels. Algorithms that simulate fluid flow dynamics and the resulting forces exerted on vessel walls can capture phenomena such as wall deformation, arterial compliance, and the propagation of pressure waves throughout the cardiovascular system. These models enhance the understanding of vasculature properties in human anatomy. The utilization of fluid-structure interaction methods in combination with medical imaging can generate patient-specific models for individual patients to facilitate the process of devising treatment plans. This review evaluates current applications and implications of fluid-structure interaction algorithms with respect to the vasculature, while considering their potential role as a guidance tool for intervention procedures.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.