Psychometric properties and detectability of GPT-4o–generated multiple-choice questions compared with human-authored items across imaging specialties - Top-Institutions - MDSpire

Psychometric properties and detectability of GPT-4o–generated multiple-choice questions compared with human-authored items across imaging specialties

  • By

  • Philipp Linde

  • Florian Fichter

  • Markus Dietlein

  • Ferdinand Sudbrock

  • Kambiz Afshar

  • Hendrik Dapper

  • Emmanouil Fokas

  • Anna-Lena Hillebrecht

  • Tobias Raupach

  • Matthias Carl Laupichler

  • January 8, 2026

  • 0 min

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  • #1

    Massachusetts General Hospital and Harvard Medical School
    Massachusetts General Hospital and Harvard Medical School

    Boston, MA

    Key Differentiators

    • Radiology
    • Medical Education
    • Artificial Intelligence

  • #2

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Radiology
    • Medical Education
    • Artificial Intelligence

  • #3

    Johns Hopkins University School of Medicine
    Johns Hopkins University School of Medicine

    Baltimore, MD

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    • Radiology
    • Medical Education
    • Artificial Intelligence

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Medical Education
    • Artificial Intelligence

  • #5

    Mayo Clinic College of Medicine and Science
    Mayo Clinic College of Medicine and Science

    Rochester, MN

    Key Differentiators

    • Radiology
    • Medical Education
    • Artificial Intelligence

Original Source(s)

Psychometric properties and detectability of GPT-4o–generated multiple-choice questions compared with human-authored items across imaging specialties

  • by Philipp Linde, Florian Fichter, Markus Dietlein, Ferdinand Sudbrock, Kambiz Afshar, Hendrik Dapper, Emmanouil Fokas, Anna-Lena Hillebrecht, Tobias Raupach, Matthias Carl Laupichler

  • January 8, 2026

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