From spasms to smiles: how facial recognition and tracking can quantify hemifacial spasm severity and predict treatment outcomes - Top-Institutions - MDSpire

From spasms to smiles: how facial recognition and tracking can quantify hemifacial spasm severity and predict treatment outcomes

  • By

  • Ahmed Al Menabbawy

  • Lennart Ruhser

  • Ehab El Refaee

  • Martin E. Weidemeier

  • Marc Matthes

  • Henry W. S. Schroeder

  • January 7, 2025

  • 0 min

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Neurosurgery
    • Biomedical Engineering

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neurology
    • Neurosurgery
    • Otolaryngology

  • #3

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Neurology
    • Neurosurgery
    • Radiology

  • #4

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Neurology
    • Neurosurgery
    • Biomedical Informatics

Original Source(s)

From spasms to smiles: how facial recognition and tracking can quantify hemifacial spasm severity and predict treatment outcomes

  • by Ahmed Al Menabbawy, Lennart Ruhser, Ehab El Refaee, Martin E. Weidemeier, Marc Matthes, Henry W. S. Schroeder

  • January 7, 2025

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