Artificial intelligence in the management and treatment of burns: A systematic review and meta-analyses.

Journal: Journal of plastic, reconstructive & aesthetic surgery : JPRAS
PMID: 36571960

Abstract

INTRODUCTION AND AIM: Artificial Intelligence (AI) is already being successfully employed to aid the interpretation of multiple facets of burns care. In the light of the growing influence of AI, this systematic review and diagnostic test accuracy meta-analyses aim to appraise and summarise the current direction of research in this field.

Authors

  • Bilal Gani Taib
    Burns and Plastic Surgery Department, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham B15 2TH, United Kingdom. Electronic address: bilal.taib@nhs.net.
  • A Karwath
    Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom; Health Data Research UK Midlands Site, Birmingham, United Kingdom; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, United Kingdom.
  • K Wensley
    Burns and Plastic Surgery Department, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham B15 2TH, United Kingdom.
  • L Minku
    School of Computer Science, University of Birmingham, Birmingham, United Kingdom.
  • G V Gkoutos
    Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom; Health Data Research UK Midlands Site, Birmingham, United Kingdom; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, United Kingdom; NIHR Surgical Reconstruction and Microbiology Research Centre, Birmingham, United Kingdom.
  • N Moiemen
    College of Medical and Dental Sciences, University of Birmingham, United Kingdom; Centre for Conflict Wound Research, Scar Free Foundation, Birmingham, United Kingdom; NIHR Surgical Reconstruction and Microbiology Research Centre, Birmingham, United Kingdom.

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