Creation and application of virtual patient cohorts of heart models
| Autor: | Elizabeth M. Cherry, Pras Pathmanathan, Chris D. Cantwell, Gernot Plank, Steven A. Niederer, Flavio H. Fenton, Marina Riabiz, Yasser Aboelkassem, Tammo Delhaas, Linwei Wang, Cesare Corrado, R. W. dos Santos, Sam Coveney, Caroline H. Roney, Alexander V. Panfilov |
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| Přispěvatelé: | Rosetrees Trust |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Patient-Specific Modeling
CARDIAC ELECTROPHYSIOLOGY Computer science VIRTUAL PATIENT COHORTS population CHAIN MONTE-CARLO General Physics and Astronomy UNCERTAINTY Review Article APPROXIMATE BAYESIAN COMPUTATION Cohort Studies Machine Learning User-Computer Interface Virtual patient digital twin Medicine and Health Sciences ABLATION POPULATION education.field_of_study Models Cardiovascular General Engineering HUMAN virtual patient cohorts Articles simulation FEMALE VARIABILITY Cohort SIMULATION cardiovascular system HEART WORKFLOW CLINICAL-TRIALS Process (engineering) cardiac General Science & Technology General Mathematics Population COHORT ANALYSIS ablation CARDIAC ADULT DIGITAL TWIN Humans SENSITIVITY ANALYSIS Uncertainty quantification Clinical care ARTICLE education Bespoke MALE variability IDENTIFIABILITY Computational Biology Biology and Life Sciences ELECTROPHYSIOLOGY Data science atrial-fibrillation Workflow Physics and Astronomy ATRIAL-FIBRILLATION |
| Zdroj: | Philosophical transactions. Series A, Mathematical, physical, and engineering sciences PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES |
| ISSN: | 1364-503X 1471-2962 |
| Popis: | Patient-specific cardiac models are now being used to guide therapies. The increased use of patient-specific cardiac simulations in clinical care will give rise to the development of virtual cohorts of cardiac models. These cohorts will allow cardiac simulations to capture and quantify inter-patient variability. However, the development of virtual cohorts of cardiac models will require the transformation of cardiac modelling from small numbers of bespoke models to robust and rapid workflows that can create large numbers of models. In this review, we describe the state of the art in virtual cohorts of cardiac models, the process of creating virtual cohorts of cardiac models, and how to generate the individual cohort member models, followed by a discussion of the potential and future applications of virtual cohorts of cardiac models.This article is part of the theme issue ‘Uncertainty quantification in cardiac and cardiovascular modelling and simulation’. |
| Databáze: | OpenAIRE |
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