Automated Identification of Hyperdense Artery Sign on Non-Contrast CT for Swift Detection of Large Vessel Occlusion: A Multicenter Validation Analysis - Top-Institutions - MDSpire

Automated Identification of Hyperdense Artery Sign on Non-Contrast CT for Swift Detection of Large Vessel Occlusion: A Multicenter Validation Analysis

  • By

  • Hirofumi Tsuji

  • Akira Ishii

  • Hidehisa Nishi

  • Yu Abekura

  • Takuya Fuchigami

  • Atsushi Tachibana

  • Hirotaka Ito

  • Yoshiki Arakawa

  • April 20, 2026

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Neurology
    • Neuroradiology
    • Artificial Intelligence in Medicine

  • #2

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Neurology
    • Neuroradiology
    • Stroke Intervention

  • #3

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

    San Francisco, CA

    Key Differentiators

    • Neurology
    • Neuroradiology
    • Biomedical Informatics

  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neurology
    • Neuroradiology
    • Stroke Care

  • #5

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Neurology
    • Neuroradiology
    • Artificial Intelligence

Original Source(s)

Automated Identification of Hyperdense Artery Sign on Non-Contrast CT for Swift Detection of Large Vessel Occlusion: A Multicenter Validation Analysis

  • by Hirofumi Tsuji, Akira Ishii, Hidehisa Nishi, Yu Abekura, Takuya Fuchigami, Atsushi Tachibana, Hirotaka Ito, Yoshiki Arakawa

  • April 20, 2026

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