Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.

Journal: British journal of anaesthesia
PMID:

Abstract

No abstract available for this article.

Authors

  • James S Bowness
    Nuffield Department of Clinical Anaesthesia, University of Oxford, Oxford, UK; Department of Anaesthesia, Aneurin Bevan University Health Board, Newport, UK. Electronic address: james.bowness@jesus.ox.ac.uk.
  • Kathryn James
    Department of Radiology, University of Washington, 1959 NE Pacific Street, Seattle WA 98195; Comparative Effectiveness, Cost and Outcomes Research Center, University of Washington, 4333 Brooklyn Ave NE, Seattle, WA 98105.
  • Luke Yarlett
    Department of Anaesthesia, Aneurin Bevan University Health Board, Newport, UK.
  • Marmar Htyn
    Department of Anaesthesia, Aneurin Bevan University Health Board, Newport, UK.
  • Eluned Fisher
    Department of Anaesthesia, Aneurin Bevan University Health Board, Newport, UK.
  • Simon Cassidy
    Department of Anaesthesia, Aneurin Bevan University Health Board, Newport, UK.
  • Megan Morecroft
    Intelligent Ultrasound, Cardiff, UK.
  • Tom Rees
    Department of Anaesthesia, Aneurin Bevan University Health Board, Newport, UK.
  • J Alison Noble
    Institute of Biomedical Engineering (IBME), University of Oxford, Oxford, England, UK.
  • Helen Higham
    Nuffield Department of Clinical Anaesthesia, University of Oxford, Oxford, UK; Department of Anaesthesia, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.