Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach - Top-Institutions - MDSpire

Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach

  • By

  • Mehak Gurnani

  • Konstantinos Patlatzoglou

  • Joseph Barker

  • Libor Pastika

  • Boroumand Zeidaabadi

  • Ibrahim Antoun

  • Riyaz Somani

  • G. Andre Ng

  • Paolo Inglese

  • Lara Curran

  • Declan O’Regan

  • Nicholas S. Peters

  • Daniel B. Kramer

  • Jonathan W. Waks

  • Arunashis Sau

  • Fu Siong Ng

  • December 4, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Cardiology
    • Electrophysiology
    • Artificial Intelligence in Medicine

  • #2

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Cardiology
    • Electrophysiology
    • Machine Learning

  • #3

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Cardiology
    • Electrophysiology
    • Biomedical Informatics

  • #4

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Cardiology
    • Electrophysiology
    • Artificial Intelligence

  • #5

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Cardiology
    • Electrophysiology
    • Data Science

Original Source(s)

Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach

  • by Mehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, Libor Pastika, Boroumand Zeidaabadi, Ibrahim Antoun, Riyaz Somani, G. Andre Ng, Paolo Inglese, Lara Curran, Declan O’Regan, Nicholas S. Peters, Daniel B. Kramer, Jonathan W. Waks, Arunashis Sau, Fu Siong Ng

  • December 4, 2025

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