Utilizing a Machine Learning-Enhanced Magnetocardiography Model to Forecast Angina Risk Following Percutaneous Coronary Intervention - Top-Institutions - MDSpire

Utilizing a Machine Learning-Enhanced Magnetocardiography Model to Forecast Angina Risk Following Percutaneous Coronary Intervention

  • By

  • WenLong Wang

  • LiNa Wang

  • FaMing Ding

  • ZhiXin Wang

  • ShiLong Cao

  • QingMin Ji

  • MengFan Hu

  • JianGuo Cui

  • Dong Wang

  • April 20, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Cardiology
    • Cardiovascular Imaging
    • Interventional Cardiology

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Cardiology
    • Cardiovascular Imaging
    • Biomedical Engineering

  • #3

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Cardiology
    • Interventional Cardiology
    • Biomedical Informatics

  • #4

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Cardiology
    • Cardiovascular Imaging
    • Data Science

  • #5

    Stanford Health Care
    Stanford Health Care

    Stanford, CA

    Key Differentiators

    • Cardiology
    • Biomedical Informatics
    • Interventional Cardiology

Original Source(s)

Utilizing a Machine Learning-Enhanced Magnetocardiography Model to Forecast Angina Risk Following Percutaneous Coronary Intervention

  • by WenLong Wang, LiNa Wang, FaMing Ding, ZhiXin Wang, ShiLong Cao, QingMin Ji, MengFan Hu, JianGuo Cui, Dong Wang

  • April 20, 2026

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