Credibility Assessment of Patient-Specific Computational Models

Patient-specific models (PSMs) are computational models that have been personalized to represent individual patients, and are closely related to the concept of the Digital Twin. While there has been much recent efforts on credibility assessment of models for medical devices, these efforts have generally been motivated by models of medical devices or generic patient models; how best to evaluate the credibility of PSMs has largely been unexplored. This talk will overview our recent publication that was the first, to our knowledge, focused on the topic of credibility of PSMs. Using cardiac modeling as an exemplar field, we consider how verification, validation, and uncertainty quantification (VVUQ) apply to cardiac PSMs, and then perform mesh resolution and uncertainty quantification studies using PSMs. Findings were then used to consider how PSMs can be evaluated using the approach of the ASME V&V40 Standard. Moderator: James A. Glazier, PhD, Indiana University, Bloomington For more information visit: https://webstore.ansi.org/standards/asme/asme402018 https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010541 If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/