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

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital and Brigham and Women’s Hospital (Mass General Brigham)
    Massachusetts General Hospital and Brigham and Women’s Hospital (Mass General Brigham)

    Boston, Massachusetts

    Key Differentiators

    • Cardiology
    • Heart Surgery

  • #2

    Stanford Health Care / Stanford University School of Medicine
    Stanford Health Care / Stanford University School of Medicine

    Stanford, California

    Key Differentiators

    • Cardiology
    • Heart Surgery

  • #3

    Kerckhoff Heart Center
    Kerckhoff Heart Center

    Bad Nauheim, Hesse

    Key Differentiators

    • Cardiology

  • #4

    Heart Centre Düsseldorf
    Heart Centre Düsseldorf

    Düsseldorf, North Rhine-Westphalia

    Key Differentiators

    • Cardiology

  • #5

    University Medical Center of Göttingen
    University Medical Center of Göttingen

    Göttingen, Lower Saxony

    Key Differentiators

    • Cardiology

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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