Mangado López, NereaPiella Fenoy, GemmaNoailly, JérômePons-Prats, JordiGonzález Ballester, Miguel Ángel, 1973-2018-02-192018-02-192016Mangado N, Piella G, Noailly J, Pons-Prats J, González Ballester MÁ. Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation. Front Bioeng Biotechnol. 2016;4: 85. DOI: 10.3389/fbioe.2016.000852296-4185http://hdl.handle.net/10230/33931Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately known, and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis and stochastic approaches have been used. This article aims to review the analysis of uncertainty and variability in the context of finite element modeling in biomedical engineering. Characterization techniques and propagation methods are presented, as well as examples of their applications in biomedical finite element simulations. Uncertainty propagation methods, both non-intrusive and intrusive, are described. Finally, pros and cons of the different approaches and their use in the scientific community are presented. This leads us to identify future directions for research and methodological development of uncertainty modeling in biomedical engineering.application/pdfeng© 2016 Mangado, Piella, Noailly, Pons-Prats and González Ballester. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.info:eu-repo/semantics/articlehttp://dx.doi.org/10.3389/fbioe.2016.00085Uncertainty quantificationFinite element modelsRandom variablesIntrusive and non-intrusive methodsSampling techniquesComputational modelinginfo:eu-repo/semantics/openAccess