Using deep learning for estimation of time-since-injury in pediatric accidental fractures.

Journal: Pediatric radiology
Published Date: Apr 22, 2025

Abstract

BACKGROUND: Estimating time-since-injury of healing fractures is imprecise, encompassing excessively wide timeframes. Most injured children are evaluated at non-children's hospitals, yet pediatric radiologists can disagree with up to one in six skeletal imaging interpretations from referring community hospitals. There is a need to improve image interpretation by considering additional methods for fracture dating.

Authors

  • Farah W Brink
    Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA. farah.brink@nationwidechildrens.org.
  • Brent Adler
    Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, USA.
  • Sven Bambach
    Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, USA.
  • Charmaine B Lo
    Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA.
  • Steven Rust
    Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, USA.
  • Christopher W Bartlett
    Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA.
  • Logan Bradshaw
    Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA.
  • M Katherine Henry
    Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Diana Messer
    University of Tennessee Health Science Center, Memphis, USA.

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