ReviewCurrent opinion in pediatrics2015
Computational modeling and engineering in pediatric and congenital heart disease.
Review in Current opinion in pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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Who cites it
29 citing papers in PubMed.
- Postnatal pulmonary artery development from transcript to tissue.Journal of the Royal Society, Interface · 2026Article
- Modeling of gene regulatory networks: an annotated glossary.Trends in plant science · 2026Review
- A Patient-Specific Computational Model for Neonates and Infants with Borderline Left Ventricles.Annals of biomedical engineering · 2026Article
- Single ventricle care: challenges, successes and the future in a single center program.Translational pediatrics · 2025Review
- Computational Fluid Dynamic Assessment of Patients with Congenital Heart Disease from 3D Rotational Angiography.Pediatric cardiology · 2025Article
- SDF4CHD: Generative modeling of cardiac anatomies with congenital heart defects.Medical image analysis · 2024Article
- Computational fluid dynamics of bladder voiding using 3D dynamic MRI.International journal for numerical methods in biomedical engineering · 2024Article
- Digital twinning of cardiac electrophysiology for congenital heart disease.Journal of the Royal Society, Interface · 2024Article
- Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.PLoS computational biology · 2024Article
- Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient.Computer methods in biomechanics and biomedical engineering · 2024Article
- Branched Latent Neural Maps.Computer methods in applied mechanics and engineering · 2024Article
- Digital twinning of cardiac electrophysiology for congenital heart disease.bioRxiv : the preprint server for biology · 2023Article
- Article
- An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2022Article
- A Novel Method for Improving the Accuracy of MR-derived Patient-specific Vascular Models using X-ray Angiography.Engineering with computers · 2022Article
- Enhanced 4D Flow MRI-Based CFD with Adaptive Mesh Refinement for Flow Dynamics Assessment in Coarctation of the Aorta.Annals of biomedical engineering · 2022Article
- Hemodynamic and Structural Comparison of Human Fetal Heart Development Between Normally Growing and Hypoplastic Left Heart Syndrome-Diagnosed Hearts.Frontiers in physiology · 2022Article
- A distributed lumped parameter model of blood flow with fluid-structure interaction.Biomechanics and modeling in mechanobiology · 2021Article
- Computational analysis of cardiac structure and function in congenital heart disease: Translating discoveries to clinical strategies.Journal of computational science · 2021Article
- Computational Modeling of Blood Flow Hemodynamics for Biomechanical Investigation of Cardiac Development and Disease.Journal of cardiovascular development and disease · 2021Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
purpose of reviewRecent methodological advances in computational simulations are enabling increasingly realistic simulations of hemodynamics and physiology, driving increased clinical utility. We review recent developments in the use of computational simulations in pediatric and congenital heart disease, describe the clinical impact in modeling in single-ventricle patients, and provide an overview of emerging areas. RECENT
findingsMultiscale modeling combining patient-specific hemodynamics with reduced order (i.e., mathematically and computationally simplified) circulatory models has become the de-facto standard for modeling local hemodynamics and 'global' circulatory physiology. We review recent advances that have enabled faster solutions, discuss new methods (e.g., fluid structure interaction and uncertainty quantification), which lend realism both computationally and clinically to results, highlight novel computationally derived surgical methods for single-ventricle patients, and discuss areas in which modeling has begun to exert its influence including Kawasaki disease, fetal circulation, tetralogy of Fallot (and pulmonary tree), and circulatory support. SUMMARY: Computational modeling is emerging as a crucial tool for clinical decision-making and evaluation of novel surgical methods and interventions in pediatric cardiology and beyond. Continued development of modeling methods, with an eye towards clinical needs, will enable clinical adoption in a wide range of pediatric and congenital heart diseases.
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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.