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Editorial Comment
Closing the gap: artificial intelligence applied to ultrasound-guided regional anaesthesia.
- David W Hewson and Nigel M Bedforth.
- 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.
- Br J Anaesth. 2023 Mar 1; 130 (3): 245247245-247.
AbstractThe 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.Copyright © 2022 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.
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