ReviewThe Journal of physiology2016
How computer simulations of the human heart can improve anti-arrhythmia therapy.
Review in The Journal of physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Sex-specific human electromechanical multiscale in-silico models for virtual therapy evaluation.Journal of molecular and cellular cardiology plus · 2025Article
- Current trends in virtual electrophysiology use for risk stratification and treatment of ventricular arrhythmias.Frontiers in cardiovascular medicine · 2025Review
- Computer Simulation of Catheter Cryoablation for Pulmonary Vein Isolation.Healthcare (Basel, Switzerland) · 2024Article
- Optimising low-energy defibrillation in 2D cardiac tissue with a genetic algorithm.Frontiers in network physiology · 2023Article
- A smoothed boundary bidomain model for cardiac simulations in anatomically detailed geometries.PloS one · 2023Article
- Increased SERCA2a sub-cellular heterogeneity in right-ventricular heart failure inhibits excitation-contraction coupling and modulates arrhythmogenic dynamics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Investigating cardiac stimulation limits of MRI gradient coils using electromagnetic and electrophysiological simulations in human and canine body models.Magnetic resonance in medicine · 2021Article
- Computationally efficient model of myocardial electromechanics for multiscale simulations.PloS one · 2021Article
- In-silico study of the cardiac arrhythmogenic potential of biomaterial injection therapy.Scientific reports · 2020Article
- Dynamic Properties of Heart Fragments from Different Regions and Their Synchronization.Bioengineering (Basel, Switzerland) · 2020Article
- An Introductory Overview of Image-Based Computational Modeling in Personalized Cardiovascular Medicine.Frontiers in bioengineering and biotechnology · 2020Review
- Securing the future of research computing in the biosciences.PLoS computational biology · 2019Article
- Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies.Frontiers in physiology · 2019Article
- Optimal contrast-enhanced MRI image thresholding for accurate prediction of ventricular tachycardia using ex-vivo high resolution models.Computers in biology and medicine · 2018Article
- Personalized computational modeling of left atrial geometry and transmural myofiber architecture.Medical image analysis · 2018Article
- Personalized Imaging and Modeling Strategies for Arrhythmia Prevention and Therapy.Current opinion in biomedical engineering · 2018Article
- CaFrontiers in physiology · 2018Article
- A Numerical Study of Scalable Cardiac Electro-Mechanical Solvers on HPC Architectures.Frontiers in physiology · 2018Article
- Computational assessment of the functional role of sinoatrial node exit pathways in the human heart.PloS one · 2017Article
- I love it when a plan comes together: Insight gained through convergence of competing mathematical models.Journal of molecular and cellular cardiology · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Over the last decade, the state-of-the-art in cardiac computational modelling has progressed rapidly. The electrophysiological function of the heart can now be simulated with a high degree of detail and accuracy, opening the doors for simulation-guided approaches to anti-arrhythmic drug development and patient-specific therapeutic interventions. In this review, we outline the basic methodology for cardiac modelling, which has been developed and validated over decades of research. In addition, we present several recent examples of how computational models of the human heart have been used to address current clinical problems in cardiac electrophysiology. We will explore the use of simulations to improve anti-arrhythmic pacing and defibrillation interventions; to predict optimal sites for clinical ablation procedures; and to aid in the understanding and selection of arrhythmia risk markers. Together, these studies illustrate how the tremendous advances in cardiac modelling are poised to revolutionize medical treatment and prevention of arrhythmia.
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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.