Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans - Top-Institutions - MDSpire

Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans

  • By

  • Evamaria O. Riedel

  • David Schinz

  • Matthias Keicher

  • Sebastian Rühling

  • Malek El Husseini

  • Chantal Pellegrini

  • Thomas Baum

  • Michael Dieckmeyer

  • Luca Malagutti

  • Isabel Seeger

  • Anna S. Walburga

  • Benedikt Wiestler

  • Nico Sollmann

  • Maximilian T. Löffler

  • Arthur Wagner

  • Jan S. Kirschke

  • February 24, 2026

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Endocrinology
    • Artificial Intelligence in Medicine

  • #2

    Massachusetts General Hospital (MGH)
    Massachusetts General Hospital (MGH)

    Boston, MA

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Osteoporosis

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Orthopedics
    • Artificial Intelligence

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • AI in Healthcare

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Endocrinology
    • AI and Machine Learning

Original Source(s)

Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans

  • by Evamaria O. Riedel, David Schinz, Matthias Keicher, Sebastian Rühling, Malek El Husseini, Chantal Pellegrini, Thomas Baum, Michael Dieckmeyer, Luca Malagutti, Isabel Seeger, Anna S. Walburga, Benedikt Wiestler, Nico Sollmann, Maximilian T. Löffler, Arthur Wagner, Jan S. Kirschke

  • February 24, 2026

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