Artificial Intelligence Enhanced Electrocardiogram Analysis for Age and Sex Classification in Youth - Top-Institutions - MDSpire

Artificial Intelligence Enhanced Electrocardiogram Analysis for Age and Sex Classification in Youth

  • By

  • Honggen Zhang

  • Mohammad Zaeri-Amirani

  • Mojtaba Abolfazli

  • Narayana P. Santhanam

  • June Zhang

  • Anders Høst-Madsen

  • Chieko Kimata

  • James C. Perry

  • Andras Bratincsak

  • February 18, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Boston Children's Hospital
    Boston Children's Hospital

    Boston, MA

    Key Differentiators

    • Pediatric Cardiology
    • Biomedical Engineering
    • Artificial Intelligence

  • #2

    Children's Hospital of Philadelphia (CHOP)
    Children's Hospital of Philadelphia (CHOP)

    Philadelphia, PA

    Key Differentiators

    • Pediatric Cardiology
    • Computational Medicine
    • Machine Learning

  • #3

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Pediatric Cardiology
    • Artificial Intelligence
    • Biomedical Informatics

  • #4

    Cincinnati Children's Hospital Medical Center
    Cincinnati Children's Hospital Medical Center

    Cincinnati, OH

    Key Differentiators

    • Pediatric Cardiology
    • Clinical Informatics
    • Machine Learning

  • #5

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Pediatric Cardiology
    • Biomedical Engineering
    • Artificial Intelligence

Original Source(s)

Artificial Intelligence Enhanced Electrocardiogram Analysis for Age and Sex Classification in Youth

  • by Honggen Zhang, Mohammad Zaeri-Amirani, Mojtaba Abolfazli, Narayana P. Santhanam, June Zhang, Anders Høst-Madsen, Chieko Kimata, James C. Perry, Andras Bratincsak

  • February 18, 2026

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