Detecting pediatric wrist fractures using deep-learning-based object detection.

Journal: Pediatric radiology
PMID: 36650360

Abstract

BACKGROUND: Missed fractures are the leading cause of diagnostic error in the emergency department, and fractures of pediatric bones, particularly subtle wrist fractures, can be misidentified because of their varying characteristics and responses to injury.

Authors

  • John R Zech
    Department of Medicine, California Pacific Medical Center, San Francisco, California, United States of America.
  • Giuseppe Carotenuto
    Department of Radiology, Columbia University Irving Medical Center/New York-Presbyterian Hospital, 622 W 168th St., NY, 10032, New York, USA.
  • Zenas Igbinoba
    Department of Radiology, Columbia University Irving Medical Center/New York Presbyterian Hospital, 622 W 168th St., New York, NY, 10032, USA.
  • Clement Vinh Tran
    Department of Radiology, Columbia University Irving Medical Center/New York Presbyterian Hospital, 622 W 168th St., New York, NY, 10032, USA.
  • Elena Insley
    Department of Pediatrics, Columbia University Irving Medical Center/Morgan Stanley Children's Hospital of New York, New York, NY, USA.
  • Alyssa Baccarella
    Division of Gastroenterology, Children's Hospital of Philadelphia, Philadelphia, PA, 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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