Diagnostic value of artificial intelligence-based software for the detection of pediatric upper extremity fractures - Top-Institutions - MDSpire

Diagnostic value of artificial intelligence-based software for the detection of pediatric upper extremity fractures

  • By

  • Federico Mollica

  • Corona Metz

  • Matthias Stephan Anders

  • Kim Kathrin Wismayer

  • Andrea Schmid

  • Stefan M. Niehues

  • Simon Veldhoen

  • August 23, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Boston Children's Hospital
    Boston Children's Hospital

    Boston, MA

    Key Differentiators

    • Pediatric Radiology
    • Artificial Intelligence in Medical Imaging
    • Pediatric Orthopedics

  • #2

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

    Philadelphia, PA

    Key Differentiators

    • Pediatric Radiology
    • Medical Imaging AI
    • Pediatric Orthopedics

  • #3

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Radiology
    • Artificial Intelligence in Healthcare
    • Pediatric Medicine

  • #4

    The Hospital for Sick Children (SickKids)
    The Hospital for Sick Children (SickKids)

    Toronto, ON

    Key Differentiators

    • Pediatric Radiology
    • Medical Imaging AI
    • Pediatric Orthopedics

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Artificial Intelligence in Medical Imaging
    • Pediatric Orthopedics

Original Source(s)

Diagnostic value of artificial intelligence-based software for the detection of pediatric upper extremity fractures

  • by Federico Mollica, Corona Metz, Matthias Stephan Anders, Kim Kathrin Wismayer, Andrea Schmid, Stefan M. Niehues, Simon Veldhoen

  • August 23, 2025

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