Impact of test set composition on AI performance in pediatric wrist fracture detection in X-rays - Top-Institutions - MDSpire

Impact of test set composition on AI performance in pediatric wrist fracture detection in X-rays

  • By

  • Tristan Till

  • Mario Scherkl

  • Nikolaus Stranger

  • Georg Singer

  • Saskia Hankel

  • Christina Flucher

  • Franko Hržić

  • Ivan Štajduhar

  • Sebastian Tschauner

  • May 16, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Radiology
    • Artificial Intelligence
    • Pediatric Imaging

  • #2

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Pediatric Radiology

  • #3

    Children’s Hospital of Philadelphia (CHOP)
    Children’s Hospital of Philadelphia (CHOP)

    Philadelphia, PA

    Key Differentiators

    • Pediatric Radiology
    • Artificial Intelligence
    • Orthopedics

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Artificial Intelligence
    • Pediatric Imaging

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Artificial Intelligence
    • Pediatric Orthopedics

Original Source(s)

Impact of test set composition on AI performance in pediatric wrist fracture detection in X-rays

  • by Tristan Till, Mario Scherkl, Nikolaus Stranger, Georg Singer, Saskia Hankel, Christina Flucher, Franko Hržić, Ivan Štajduhar, Sebastian Tschauner

  • May 16, 2025

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