ArticleFrontiers in physiology2019
Personalized Cardiac Computational Models: From Clinical Data to Simulation of Infarct-Related Ventricular Tachycardia.
Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 104 citations in OpenAlex.
- Prediction of arrhythmogenesis in non-ischemic cardiac resynchronization therapy patients.APL bioengineering · 2026Article
- Atrial fibrosis in atrial fibrillation: Mechanisms, mapping techniques and clinical applications.The Journal of physiology · 2026Review
- Can in silico models predict drug-induced cardiac risk in vulnerable populations?Toxicology reports · 2026Article
- In silico assessment of arrhythmic risk following the implantation of engineered heart tissues in porcine hearts with varying infarct locations.PLoS computational biology · 2026Article
- Integrated multi-modal data analysis for computational modeling of healthy and location-dependent myocardial infarction conditions in porcine hearts.PLoS computational biology · 2026Article
- Rhythm control benefits left ventricular function compared with rate control in patients with atrial fibrillation: A computational study.Heart rhythm O2 · 2025Article
- Mechano-electrical-fluid interaction left-ventricle model for numerical evaluation of aortic valve hemodynamics.Frontiers in bioengineering and biotechnology · 2025Article
- Current trends in virtual electrophysiology use for risk stratification and treatment of ventricular arrhythmias.Frontiers in cardiovascular medicine · 2025Review
- From bits to bedside: entering the age of digital twins in cardiac electrophysiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Review
- Computational Medicine: What Electrophysiologists Should Know to Stay Ahead of the Curve.Current cardiology reports · 2024Review
- Progress of Conductivity and Conduction Velocity Measured in Human and Animal Hearts.Reviews in cardiovascular medicine · 2024Review
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data.Arrhythmia & electrophysiology review · 2024Review
- Re-entry in models of cardiac ventricular tissue with scar represented as a Gaussian random field.Frontiers in physiology · 2024Article
- Studying the Influence of Finite Element Mesh Size on the Accuracy of Ventricular Tachycardia Simulation.Reviews in cardiovascular medicine · 2023Article
- Arrhythmogenic vulnerability of reentrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- Enhanced optimization-based method for the generation of patient-specific models of Purkinje networks.Scientific reports · 2023Article
- A smoothed boundary bidomain model for cardiac simulations in anatomically detailed geometries.PloS one · 2023Article
- Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy.Frontiers in physiology · 2023Article
- The physics of heart rhythm disorders.Physics reports · 2022Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
Abstract
In the chronic stage of myocardial infarction, a significant number of patients develop life-threatening ventricular tachycardias (VT) due to the arrhythmogenic nature of the remodeled myocardium. Radiofrequency ablation (RFA) is a common procedure to isolate reentry pathways across the infarct scar that are responsible for VT. Unfortunately, this strategy show relatively low success rates; up to 50% of patients experience recurrent VT after the procedure. In the last decade, intensive research in the field of computational cardiac electrophysiology (EP) has demonstrated the ability of three-dimensional (3D) cardiac computational models to perform
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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.