Bridging the Divide: A Cross-Sectional Study on the Role of Large Language Models in Emergency Medicine Publications - Top-Institutions - MDSpire

Bridging the Divide: A Cross-Sectional Study on the Role of Large Language Models in Emergency Medicine Publications

  • By

  • Ying Du

  • Zhendong Xu

  • Tianlin Wen

  • Yanqing Jia

  • Xiyan Zhao

  • Zhiwei Jia

  • March 1, 2026

  • 0 min

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Top Institutions in Emergency Medicine

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Emergency Medicine
    • Medical Informatics
    • Publication Ethics

  • #2

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

    Boston, MA

    Key Differentiators

    • Emergency Medicine
    • Biomedical Informatics
    • Clinical Research

  • #3

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

    San Francisco, CA

    Key Differentiators

    • Emergency Medicine
    • Health Informatics
    • Medical Ethics

  • #4

    University of Pennsylvania (Penn Medicine)
    University of Pennsylvania (Penn Medicine)

    Philadelphia, PA

    Key Differentiators

    • Emergency Medicine
    • Clinical Informatics
    • Research Ethics

  • #5

    University of Michigan
    University of Michigan

    Ann Arbor, MI

    Key Differentiators

    • Emergency Medicine
    • Biomedical Informatics
    • Health Policy

Original Source(s)

Bridging the Divide: A Cross-Sectional Study on the Role of Large Language Models in Emergency Medicine Publications

  • by Ying Du, Zhendong Xu, Tianlin Wen, Yanqing Jia, Xiyan Zhao, Zhiwei Jia

  • March 1, 2026

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