Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease - Top-Institutions - MDSpire

Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease

  • By

  • Meenal Rawlani

  • Hirotaka Ieki

  • Christina Binder

  • Victoria Yuan

  • I-Min Chiu

  • Ankeet Bhatt

  • Joseph E. Ebinger

  • Yuki Sahashi

  • Andrew P. Ambrosy

  • Hiroki Usuku

  • Kenichi Tsujita

  • Paul Cheng

  • Alan C. Kwan

  • Susan Cheng

  • David Ouyang

  • November 18, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Cedars-Sinai Medical Center
    Cedars-Sinai Medical Center

    Los Angeles, CA

    Key Differentiators

    • Cardiology
    • Medical Imaging
    • Artificial Intelligence

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Cardiology
    • Medical Imaging
    • Biomedical Informatics

  • #3

    Massachusetts General Hospital (MGH) / Harvard Medical School
    Massachusetts General Hospital (MGH) / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Cardiology
    • Radiology
    • Artificial Intelligence

  • #4

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Cardiology
    • Biomedical Data Science
    • Artificial Intelligence

  • #5

    Johns Hopkins Medicine
    Johns Hopkins Medicine

    Baltimore, MD

    Key Differentiators

    • Cardiology
    • Medical Imaging
    • Artificial Intelligence

Original Source(s)

Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease

  • by Meenal Rawlani, Hirotaka Ieki, Christina Binder, Victoria Yuan, I-Min Chiu, Ankeet Bhatt, Joseph E. Ebinger, Yuki Sahashi, Andrew P. Ambrosy, Hiroki Usuku, Kenichi Tsujita, Paul Cheng, Alan C. Kwan, Susan Cheng, David Ouyang

  • November 18, 2025

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