Computational modelling for personalized transcatheter aortic valve replacement planning: a systematic review of complications and decision support

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Patient-specific digital simulation supports personalized planning for transcatheter aortic valve replacement (TAVR) in younger, lower-risk patients.
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Complications such as paravalvular leak, conduction disturbances, and coronary obstruction significantly impact TAVR outcomes.
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Current pre-procedural planning primarily relies on computed tomography, which does not fully capture dynamic device-tissue interactions.
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Computational modeling enhances TAVR planning by simulating valve deployment and device-tissue interactions to inform decision-making.
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Despite advancements, clinical translation of computational models is limited by methodological variability and lack of integration into workflows.

Frontiers In Digital Health

by Elisa Rauseo, Laura Bevis, Xu Chen, Steffen E. Petersen, Anthony Mathur, Gregory G. Slabaugh, Caroline H. Roney
June 4, 2026

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