Closing the gap: artificial intelligence applied to ultrasound-guided regional anaesthesia

David W Hewson; Nigel M Bedforth

doi:10.1016/j.bja.2022.12.005

Closing the gap: artificial intelligence applied to ultrasound-guided regional anaesthesia

Br J Anaesth. 2023 Mar;130(3):245-247. doi: 10.1016/j.bja.2022.12.005. Epub 2023 Jan 11.

Authors

David W Hewson¹, Nigel M Bedforth²

Affiliations

¹ Department of Anaesthesia and Critical Care, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK; Academic Unit of Injury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, UK. Electronic address: david.hewson@nottingham.ac.uk.
² Academic Unit of Injury, Recovery and Inflammation Sciences, School of Medicine, University of Nottingham, Nottingham, UK.

PMID: 36639327
DOI: 10.1016/j.bja.2022.12.005

Abstract

The role of artificial intelligence in ultrasound-guided regional anaesthesia is explored in a recent study by Bowness and colleagues, published in the British Journal of Anaesthesia. The investigators showed that non-expert ability to identify key sono-anatomical structures was improved with the assistance of proprietary artificial intelligence software. Whether such software could increase learning efficiency, and thereby patient access, to regional anaesthesia, will require further study.

Keywords: artificial intelligence; peripheral nerve blockade; regional anaesthesia; technical skills; training; ultrasonography.

Publication types

Editorial
Comment

MeSH terms

Anesthesia, Conduction*
Anesthesiology*
Artificial Intelligence
Humans
Ultrasonography
Ultrasonography, Interventional