Utilization of Machine Learning Technologies in Emergency Department Settings: A Comprehensive Review - Top-Institutions - MDSpire

Utilization of Machine Learning Technologies in Emergency Department Settings: A Comprehensive Review

  • By

  • Banafshe Hosseini

  • Atushi Patel

  • Megan Landes

  • Samuel Vaillancourt

  • Muhammad Mamdani

  • Kevin Maruthananth

  • Neha Matharu

  • Zuha Pathan

  • Krishihan Sivapragasam

  • Onlak Ruangsomboon

  • Becky Skidmore

  • Andrew D Pinto

  • January 1, 2026

  • 0 min

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Top Institutions in Pulmonary

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Emergency Medicine
    • Clinical Informatics
    • Artificial Intelligence

  • #2

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Emergency Medicine
    • Biomedical Engineering
    • Data Science

  • #3

    Stanford Health Care
    Stanford Health Care

    Stanford, CA

    Key Differentiators

    • Emergency Medicine
    • Artificial Intelligence
    • Health Informatics

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Emergency Medicine
    • Clinical Informatics
    • Machine Learning

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Emergency Medicine
    • Artificial Intelligence
    • Health Data Science

Original Source(s)

Utilization of Machine Learning Technologies in Emergency Department Settings: A Comprehensive Review

  • by Banafshe Hosseini, Atushi Patel, Megan Landes, Samuel Vaillancourt, Muhammad Mamdani, Kevin Maruthananth, Neha Matharu, Zuha Pathan, Krishihan Sivapragasam, Onlak Ruangsomboon, Becky Skidmore, Andrew D Pinto

  • January 1, 2026

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