ArticleCurrent opinion in biomedical engineering2018
Personalized Imaging and Modeling Strategies for Arrhythmia Prevention and Therapy.
Article in Current opinion in biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 24 citations in OpenAlex.
- Evolution and paradigms in ion channel and cardiac remodeling: A bibliometric analysis (1979-2024).Medicine · 2026Article
- The Hodgkin-Huxley-Katz Prize Lecture: Heart digital twins: A new paradigm in arrhythmia medicine.The Journal of physiology · 2026Article
- Panoramic hyperspectral optical mapping of cardiac membrane potential and tissue type.Journal of biomedical optics · 2026Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy.Journal of the Royal Society, Interface · 2022Article
- Model Systems for Addressing Mechanism of Arrhythmogenesis in Cardiac Repair.Current cardiology reports · 2021Review
- Fast Posterior Estimation of Cardiac Electrophysiological Model ParametersFrontiers in physiology · 2021Article
- Parameter variations in personalized electrophysiological models of human heart ventricles.PloS one · 2021Article
- Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and Its Implications for Computational Modeling of Electrical Conduction.Frontiers in physiology · 2021Article
- In situ procedure for high-efficiency computational modeling of atrial fibrillation reflecting personal anatomy, fiber orientation, fibrosis, and electrophysiology.Scientific reports · 2020Article
- Clinical Usefulness of Computational Modeling-Guided Persistent Atrial Fibrillation Ablation: Updated Outcome of Multicenter Randomized Study.Frontiers in physiology · 2019Article
- Virtual electrophysiological study as a tool for evaluating efficacy of MRI techniques in predicting adverse arrhythmic events in ischemic patients.Physics in medicine and biology · 2018Article
- A Computational Framework to Benchmark Basket Catheter Guided Ablation in Atrial Fibrillation.Frontiers in physiology · 2018Article
- Semi-implicit Non-conforming Finite-Element Schemes for Cardiac Electrophysiology: A Framework for Mesh-Coarsening Heart Simulations.Frontiers in physiology · 2018Article
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 at 1 institution in 1 country.
Funding
Abstract
The goal of this article is to review advances in computational modeling of the heart, with a focus on recent non-invasive clinical imaging- and simulation-based strategies aimed at improving the diagnosis and treatment of patients with arrhythmias and structural heart disease. Following a brief overview of the field of computational cardiology, we present recent applications of the personalized virtual-heart approach in predicting the optimal targets for infarct-related ventricular tachycardia and atrial fibrillation ablation, and in determining risk of sudden cardiac death in myocardial infarction patients. The hope is that with such models at the patient bedside, therapies could be improved, invasiveness of diagnostic procedures minimized, and health-care costs reduced.
Identifiers
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.