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Updated: Dec 20, 2025

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
An audit of uncertainty in multi-scale cardiac electrophysiology models
Richard H Clayton1, Yasser Aboelkassem2, Chris D Cantwell3
1Insigneo institute for in-silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, UK.
Abstract:
Models of electrical activation and recovery in cardiac cells and tissue have become valuable research tools, and are beginning to be used in safety-critical applications including guidance for clinical procedures and for drug safety assessment. As a consequence, there is an urgent need for a more detailed and quantitative understanding of the ways that uncertainty and variability influence model predictions. In this paper, we review the sources of uncertainty in these models at different spatial scales, discuss how uncertainties are communicated across scales, and begin to assess their relative importance. We conclude by highlighting important challenges that continue to face the cardiac modelling community, identifying open questions, and making recommendations for future studies. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.
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