ReviewBiomedical engineering online2015
Three-dimensional cardiac computational modelling: methods, features and applications.
Review in Biomedical engineering online, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
58 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.
- Sex Matters: A Comprehensive Comparison of Female and Male Hearts.Frontiers in physiology · 2022Pooled it
- Toward cardiac electrophysiology digital twins with an efficient open source scalable solver on GPU clusters.Scientific reports · 2026Article
- Single ventricle care: challenges, successes and the future in a single center program.Translational pediatrics · 2025Review
- Mechano-electrical-fluid interaction left-ventricle model for numerical evaluation of aortic valve hemodynamics.Frontiers in bioengineering and biotechnology · 2025Article
- Advancements in Finite Element Modeling for Cardiac Device Leads and 3D Heart Models.Bioengineering (Basel, Switzerland) · 2024Article
- Effects of cardiac growth on electrical dyssynchrony in the single ventricle patient.Computer methods in biomechanics and biomedical engineering · 2024Article
- A Predictive Toxicokinetic Model for Nickel Leaching from Vascular Stents.ACS biomaterials science & engineering · 2024Article
- Preclinical Models of Cardiac Disease: A Comprehensive Overview for Clinical Scientists.Cardiovascular engineering and technology · 2024Review
- A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data.Arrhythmia & electrophysiology review · 2024Review
- Simultaneous data assimilation and cardiac electrophysiology model correction using differentiable physics and deep learning.Interface focus · 2023Article
- Current progress toward isogeometric modeling of the heart biophysics.Biophysics reviews · 2023Review
- Improving Automatic Smartwatch Electrocardiogram Diagnosis of Atrial Fibrillation by Identifying Regularity within Irregularity.Sensors (Basel, Switzerland) · 2023Article
- A Systematic Review of Individualized Heart Surgery with a Personalized Prosthesis.Journal of personalized medicine · 2023Review
- Fiber Organization Has Little Effect on Electrical Activation Patterns During Focal Arrhythmias in the Left Atrium.IEEE transactions on bio-medical engineering · 2023Article
- Article
- Sex matters: the frequently overlooked importance of considering sex in computational models.Frontiers in physiology · 2023Review
- Cardiac Resynchronization Therapy for Adult Patients With a Failing Systemic Right Ventricle: A Multicenter Study.Journal of the American Heart Association · 2022Article
- Fluid-Structure Interaction Model for Predicting Surgical Result of Total Anomalous Pulmonary Venous Connection and Estimating Pulmonary Venous Properties.Cardiovascular engineering and technology · 2022Article
- From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy.Journal of the Royal Society, Interface · 2022Article
- Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The combination of computational models and biophysical simulations can help to interpret an array of experimental data and contribute to the understanding, diagnosis and treatment of complex diseases such as cardiac arrhythmias. For this reason, three-dimensional (3D) cardiac computational modelling is currently a rising field of research. The advance of medical imaging technology over the last decades has allowed the evolution from generic to patient-specific 3D cardiac models that faithfully represent the anatomy and different cardiac features of a given alive subject. Here we analyse sixty representative 3D cardiac computational models developed and published during the last fifty years, describing their information sources, features, development methods and online availability. This paper also reviews the necessary components to build a 3D computational model of the heart aimed at biophysical simulation, paying especial attention to cardiac electrophysiology (EP), and the existing approaches to incorporate those components. We assess the challenges associated to the different steps of the building process, from the processing of raw clinical or biological data to the final application, including image segmentation, inclusion of substructures and meshing among others. We briefly outline the personalisation approaches that are currently available in 3D cardiac computational modelling. Finally, we present examples of several specific applications, mainly related to cardiac EP simulation and model-based image analysis, showing the potential usefulness of 3D cardiac computational modelling into clinical environments as a tool to aid in the prevention, diagnosis and treatment of cardiac 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.