Using a fine-tuned large language model for symptom-based depression evaluation - Top-Institutions - MDSpire

Using a fine-tuned large language model for symptom-based depression evaluation

  • By

  • Samantha Weber

  • Nicolas Deperrois

  • Robert Heun

  • Laura Frühschütz

  • Anna Monn

  • Stephanie Homan

  • Andrea Häfliger

  • Erich Seifritz

  • Tobias Kowatsch

  • Birgit Kleim

  • Sebastian Olbrich

  • October 7, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Psychiatry
    • Artificial Intelligence
    • Computational Neuroscience

  • #2

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Psychiatry
    • Biomedical Informatics
    • Artificial Intelligence

  • #3

    University of Cambridge
    University of Cambridge

    Cambridge, UK

    Key Differentiators

    • Psychiatry
    • Computational Linguistics
    • Artificial Intelligence

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Psychiatry
    • Digital Health
    • Artificial Intelligence

  • #5

    Max Planck Institute of Psychiatry
    Max Planck Institute of Psychiatry

    Munich, Germany

    Key Differentiators

    • Psychiatry
    • Neuroscience
    • Artificial Intelligence

Original Source(s)

Using a fine-tuned large language model for symptom-based depression evaluation

  • by Samantha Weber, Nicolas Deperrois, Robert Heun, Laura Frühschütz, Anna Monn, Stephanie Homan, Andrea Häfliger, Erich Seifritz, Tobias Kowatsch, Birgit Kleim, Sebastian Olbrich

  • October 7, 2025

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