Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia.

Journal: Regional anesthesia and pain medicine
PMID: 35091395

Abstract

INTRODUCTION: Ultrasound-guided regional anesthesia (UGRA) involves the acquisition and interpretation of ultrasound images to delineate sonoanatomy. This study explores the utility of a novel artificial intelligence (AI) device designed to assist in this task (ScanNav Anatomy Peripheral Nerve Block; ScanNav), which applies a color overlay on real-time ultrasound to highlight key anatomical structures.

Authors

  • James Simeon Bowness
    OxSTaR, University of Oxford, Oxford, UK james.bowness@jesus.ox.ac.uk.
  • Kariem El-Boghdadly
    Anaesthesia, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Glenn Woodworth
    Anesthesiology and Perioperative Medicine, Oregon Health and Science University, Portalnd, Oregon, USA.
  • 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.
  • David Burckett-St Laurent
    Department of Anaesthesia, Royal Cornwall Hospitals NHS Trust, Truro, UK.

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