Evaluating the performance of general purpose large language models in identifying human facial emotions - Top-Institutions - MDSpire

Evaluating the performance of general purpose large language models in identifying human facial emotions

  • By

  • Benjamin W. Nelson

  • Ari Winbush

  • Steven Siddals

  • Matthew Flathers

  • Nicholas B. Allen

  • John Torous

  • October 16, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

    Cambridge, MA

    Key Differentiators

    • Artificial Intelligence
    • Affective Computing
    • Behavioral Health Informatics

  • #2

    Stanford University - Center for Biomedical Informatics Research
    Stanford University - Center for Biomedical Informatics Research

    Stanford, CA

    Key Differentiators

    • Biomedical Informatics
    • Psychiatry
    • Artificial Intelligence

  • #3

    Johns Hopkins University - Department of Psychiatry and Behavioral Sciences
    Johns Hopkins University - Department of Psychiatry and Behavioral Sciences

    Baltimore, MD

    Key Differentiators

    • Psychiatry
    • Behavioral Health Informatics
    • Artificial Intelligence

  • #4

    University of California, San Francisco (UCSF) - Department of Psychiatry
    University of California, San Francisco (UCSF) - Department of Psychiatry

    San Francisco, CA

    Key Differentiators

    • Psychiatry
    • Behavioral Health Informatics
    • AI in Healthcare

  • #5

    Carnegie Mellon University - Human-Computer Interaction Institute
    Carnegie Mellon University - Human-Computer Interaction Institute

    Pittsburgh, PA

    Key Differentiators

    • Human-Computer Interaction
    • Affective Computing
    • Artificial Intelligence

Original Source(s)

Evaluating the performance of general purpose large language models in identifying human facial emotions

  • by Benjamin W. Nelson, Ari Winbush, Steven Siddals, Matthew Flathers, Nicholas B. Allen, John Torous

  • October 16, 2025

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