A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac Surgery - Top-Institutions - MDSpire

A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac Surgery

  • By

  • Daniel E. Ehrmann

  • Matthew W. Hodgman

  • Emily M. Wittrup

  • John R. Charpie

  • Gabe E. Owens

  • Ranjit Aiyagari

  • Kayvan Najarian

  • May 7, 2026

  • 0 min

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Top Institutions in Pediatrics

Brief introduction explaining scope and methodology.

  • #1

    University of Michigan Congenital Heart Center
    University of Michigan Congenital Heart Center

    Ann Arbor, Michigan

    Key Differentiators

    • Cardiology

  • #2

    C.S. Mott Children’s Hospital
    C.S. Mott Children’s Hospital

    Ann Arbor, Michigan

    Key Differentiators

    • Pediatrics
    • Cardiology

  • #3

    Boston Children's Hospital
    Boston Children's Hospital

    Boston, Massachusetts

    Key Differentiators

    • Pediatrics
    • Cardiology

Original Source(s)

A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac Surgery

  • by Daniel E. Ehrmann, Matthew W. Hodgman, Emily M. Wittrup, John R. Charpie, Gabe E. Owens, Ranjit Aiyagari, Kayvan Najarian

  • May 7, 2026

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