Artificial intelligence to identify fractures on pediatric and young adult upper extremity radiographs.

Journal: Pediatric radiology
Published Date: Sep 23, 2023

Abstract

BACKGROUND: Pediatric fractures are challenging to identify given the different response of the pediatric skeleton to injury compared to adults, and most artificial intelligence (AI) fracture detection work has focused on adults.

Authors

  • John R Zech
    Department of Medicine, California Pacific Medical Center, San Francisco, California, United States of America.
  • Diego Jaramillo
    Department of Radiology, Columbia University Irving Medical Center/Children's Hospital of New York, 3959 Broadway, NY, 10032, New York, USA.
  • Jaan Altosaar
    One Fact Foundation, Claymont, DE.
  • Charles A Popkin
    Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, NY, USA.
  • Tony T Wong
    Department of Radiology, Columbia University Irving Medical Center, 622 West 168th St., MC 28, New York, NY, 10032, USA.

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