Wound imaging software and digital platform to assist review of surgical wounds using patient smartphones: The development and evaluation of artificial intelligence (WISDOM AI study).

Journal: PloS one
PMID: 39652559

Abstract

INTRODUCTION: Surgical patients frequently experience post-operative complications at home. Digital remote monitoring of surgical wounds via image-based systems has emerged as a promising solution for early detection and intervention. However, the increased clinician workload from reviewing patient-submitted images presents a challenge. This study utilises artificial intelligence (AI) to prioritise surgical wound images for clinician review, aiming to efficiently manage workload.

Authors

  • Melissa Rochon
    Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Judith Tanner
    University of Nottingham, Nottingham, United Kingdom.
  • James Jurkiewicz
    Islacare Ltd, London, United Kingdom.
  • Jacqueline Beckhelling
    University Hospitals of Derby and Burton NHS Foundation Trust, Derby, United Kingdom.
  • Akuha Aondoakaa
    Islacare Ltd, London, United Kingdom.
  • Keith Wilson
    Liverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, United Kingdom.
  • Luxmi Dhoonmoon
    Central and North West London NHS Foundation Trust, London, United Kingdom.
  • Max Underwood
    Islacare Ltd, London, United Kingdom.
  • Lara Mason
    Islacare Ltd, London, United Kingdom.
  • Roy Harris
    University of Nottingham, Nottingham, United Kingdom.
  • Karen Cariaga
    Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.

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