Revolution or risk?—Assessing the potential and challenges of GPT-4V in radiologic image interpretation - Top-Institutions - MDSpire

Revolution or risk?—Assessing the potential and challenges of GPT-4V in radiologic image interpretation

  • By

  • Marc Sebastian Huppertz

  • Robert Siepmann

  • David Topp

  • Omid Nikoubashman

  • Can Yüksel

  • Christiane Katharina Kuhl

  • Daniel Truhn

  • Sven Nebelung

  • October 18, 2024

  • 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

    • Radiology
    • Artificial Intelligence in Medicine
    • Medical Imaging Informatics

  • #2

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Artificial Intelligence

  • #3

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Medical AI Research
    • Clinical Informatics

  • #4

    Johns Hopkins Medicine
    Johns Hopkins Medicine

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Artificial Intelligence
    • Medical Imaging

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Biomedical Data Science
    • Artificial Intelligence

Original Source(s)

Revolution or risk?—Assessing the potential and challenges of GPT-4V in radiologic image interpretation

  • by Marc Sebastian Huppertz, Robert Siepmann, David Topp, Omid Nikoubashman, Can Yüksel, Christiane Katharina Kuhl, Daniel Truhn, Sven Nebelung

  • October 18, 2024

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