External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study.

Journal: European radiology
Published Date:

Abstract

OBJECTIVE: To determine the performance of a commercially available AI tool for fracture detection when used in children with osteogenesis imperfecta (OI).

Authors

  • Cato Pauling
    UCL Great Ormond Street Institute of Child Health, University College London, London WC1E 6BT, United Kingdom.
  • Harsimran Laidlow-Singh
    Department of Paediatric Radiology, Evelina London Children's Hospital, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom.
  • Emily Evans
    Department of Clinical Radiology, University Hospital Coventry and Warwickshire, Coventry, UK.
  • David Garbera
    Department of Paediatric Radiology, Alder Hey Children's NHS Foundation Trust Hospital, Liverpool, UK.
  • Rosalind Williamson
    Department of Paediatric Radiology, Alder Hey Children's NHS Foundation Trust Hospital, Liverpool, UK.
  • Ranil Fernando
    Department of Paediatric Radiology, Alder Hey Children's NHS Foundation Trust Hospital, Liverpool, UK.
  • Kate Thomas
    Royal Hospital for Children & Young People, Edinburgh, Scotland, UK.
  • Helena Martín
    NOSTRUM BIODISCOVERY S.L., E-08029 Barcelona, Spain.
  • Owen J Arthurs
    UCL Great Ormond Street Institute of Child Health, University College London, London WC1E 6BT, United Kingdom.
  • Susan C Shelmerdine
    UCL Great Ormond Street Institute of Child Health, University College London, London WC1E 6BT, United Kingdom.

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