Federated learning for cardiovascular disease prediction: a systematic review of clinical applications, validation, and translation readiness - Top-Institutions - MDSpire

Federated learning for cardiovascular disease prediction: a systematic review of clinical applications, validation, and translation readiness

  • By

  • Jie Li

  • Wei Xiang

  • Dandan Shang

  • Shujuan Li

  • Qin Li

  • June 8, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Mount Sinai Fuster Heart Hospital
    Mount Sinai Fuster Heart Hospital

    New York, NY

    Key Differentiators

    • Cardiology
    • Heart & Vascular Surgery

  • #2

    Mass General Brigham Heart and Vascular
    Mass General Brigham Heart and Vascular

    Boston, MA

    Key Differentiators

    • Cardiology
    • Heart Surgery

  • #3

    Hezhou People's Hospital
    Hezhou People's Hospital

    Hezhou, Guangxi

    Key Differentiators

    • Cardiology

  • #4

    CARDIANA cohort
    CARDIANA cohort

    N/A, N/A

    Key Differentiators

    • Cardiology

  • #5

    The Fourth Affiliated Hospital of Zhejiang University School of Medicine
    The Fourth Affiliated Hospital of Zhejiang University School of Medicine

    Hangzhou, Zhejiang

    Key Differentiators

    • Cardiology

Original Source(s)

Federated learning for cardiovascular disease prediction: a systematic review of clinical applications, validation, and translation readiness

  • by Jie Li, Wei Xiang, Dandan Shang, Shujuan Li, Qin Li

  • June 8, 2026

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