AI-driven low-cost rehabilitation exergame as a lightweight framework for stroke assessment - Top-Institutions - MDSpire

AI-driven low-cost rehabilitation exergame as a lightweight framework for stroke assessment

  • By

  • Júlia Tannús

  • Caroline Valentini

  • Eduardo Naves

  • January 28, 2026

  • 0 min

Share

Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Neurology
    • Rehabilitation Medicine
    • Biomedical Engineering

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Physical Medicine and Rehabilitation
    • Biomedical Engineering

  • #3

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Neurology
    • Rehabilitation Medicine
    • Computer Science

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Neurology
    • Rehabilitation Medicine
    • Artificial Intelligence

  • #5

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Neurology
    • Physical Medicine and Rehabilitation
    • Biomedical Engineering

Original Source(s)

AI-driven low-cost rehabilitation exergame as a lightweight framework for stroke assessment

  • by Júlia Tannús, Caroline Valentini, Eduardo Naves

  • January 28, 2026

Related Content

Comparative Study on the Efficacy and Safety of Different Left Atrial Appendage Occluders in One-Stop Atrial Fibrillation Procedures

One-year outcomes of thoracic endovascular stent graft repair for acute type B aortic penetrating ulcer combined with antiplatelet drugs

Poststroke anxiety and depression: epidemiology, mechanisms, and management strategies