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

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

  • By

  • Elisa Rauseo

  • Laura Bevis

  • Xu Chen

  • Steffen E. Petersen

  • Anthony Mathur

  • Gregory G. Slabaugh

  • Caroline H. Roney

  • June 4, 2026

  • 0 min

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Clinical Scorecard: Personalized Planning for Transcatheter Aortic Valve Replacement Through Computational Modeling: A Systematic Review of Complications and Supportive Decision-Making

At a Glance

CategoryDetail
Condition
Key Mechanisms
Target PopulationPatients undergoing TAVR.
Care Setting

Key Highlights

  • Remove unsupported conclusions.

Guideline-Based Recommendations

Diagnosis

    Management

    • Consider patient-specific simulations to explore procedural strategies.

    Monitoring & Follow-up

      Risks

        Patient & Prescribing Data

        Patient preference for TAVR over surgical options is increasing.

        Clinical Best Practices

        • Incorporate computational modeling into pre-procedural planning.

        Related Resources & Content

        Original Source(s)

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

        • 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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