An Implementable Deep Learning Approach for Automated Risk Assessment of Stroke in Patients with Carotid Atherosclerotic Plaque - Top-Institutions - MDSpire

An Implementable Deep Learning Approach for Automated Risk Assessment of Stroke in Patients with Carotid Atherosclerotic Plaque

  • By

  • Yafei Gao

  • Hao Wang

  • Dingwen Zhou

  • Peipei Mai

  • Xiaona Li

  • Panpan Li

  • Yongxin Li

  • Hua Wang

  • April 21, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neurology
    • Vascular Medicine
    • Medical Imaging
    • Artificial Intelligence

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Radiology
    • Biomedical Engineering
    • Machine Learning

  • #3

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Neurology
    • Radiology
    • Biomedical Informatics
    • Artificial Intelligence

  • #4

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Neurology
    • Vascular Surgery
    • Medical Imaging
    • Data Science

  • #5

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Neurology
    • Radiology
    • Artificial Intelligence
    • Biomedical Engineering

Original Source(s)

An Implementable Deep Learning Approach for Automated Risk Assessment of Stroke in Patients with Carotid Atherosclerotic Plaque

  • by Yafei Gao, Hao Wang, Dingwen Zhou, Peipei Mai, Xiaona Li, Panpan Li, Yongxin Li, Hua Wang

  • April 21, 2026

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