Accessible assessment of motor and cognitive symptoms in Parkinson’s disease: integrating large datasets, machine-learning, and videoconferencing - Top-Institutions - MDSpire

Accessible assessment of motor and cognitive symptoms in Parkinson’s disease: integrating large datasets, machine-learning, and videoconferencing

  • By

  • Avigail Lithwick Algon

  • William Saban

  • February 7, 2026

  • 0 min

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Top Institutions in Neurology

Brief introduction explaining scope and methodology.

  • #1

    University of California, San Francisco (UCSF) Memory and Aging Center
    University of California, San Francisco (UCSF) Memory and Aging Center

    San Francisco, CA

    Key Differentiators

    • Neurology
    • Neurodegenerative Diseases
    • Digital Health
    • Machine Learning

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neurology
    • Movement Disorders
    • Telehealth
    • Clinical Informatics

  • #3

    Johns Hopkins University School of Medicine
    Johns Hopkins University School of Medicine

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Neuroinformatics
    • Machine Learning
    • Telemedicine

  • #4

    University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine

    Philadelphia, PA

    Key Differentiators

    • Neurology
    • Movement Disorders
    • Digital Health
    • Clinical Research

  • #5

    Massachusetts General Hospital (MGH) - Center for Parkinson’s Disease and Other Movement Disorders
    Massachusetts General Hospital (MGH) - Center for Parkinson’s Disease and Other Movement Disorders

    Boston, MA

    Key Differentiators

    • Neurology
    • Movement Disorders
    • Telemedicine
    • Neurotechnology

Original Source(s)

Accessible assessment of motor and cognitive symptoms in Parkinson’s disease: integrating large datasets, machine-learning, and videoconferencing

  • by Avigail Lithwick Algon, William Saban

  • February 7, 2026

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