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Editorial
. 2021 May;76(5):602-607.
doi: 10.1111/anae.15212. Epub 2020 Jul 29.

Artificial intelligence for image interpretation in ultrasound-guided regional anaesthesia

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Free article
Editorial

Artificial intelligence for image interpretation in ultrasound-guided regional anaesthesia

J Bowness et al. Anaesthesia. 2021 May.
Free article
No abstract available

Keywords: anatomy; artificial intelligence; blocks; machine learning; regional anaesthesia; ultrasound.

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References

    1. Scholten HJ, Pourtaherian A, Mihajlovic N, et al. Improving needle tip identification during ultrasound-guided procedures in anaesthetic practice. Anaesthesia 2017; 72: 889-904.
    1. Munimara S, McLeod GA. A systematic review and meta-analysis of ultrasound versus nerve stimulation for peripheral nerve location and blockade. Anaesthesia 2015; 70: 1084-91.
    1. Sites BD, Chan VW, Neal JM, et al. The American Society of Regional Anesthesia and Pain and the European Society of Regional Anaesthesia and Pain Therapy Joint Committee recommendations for education and training in ultrasound-guided regional anaesthesia. Regional Anesthesia and Pain Medicine 2009; 34: 40-6.
    1. Turbitt LR, Mariano ER, El-Boghdadly K. Future directions in regional anaesthesia: not just for the cognoscenti. Anaesthesia 2020; 75: 293-7.
    1. Bowness J, Turnbull K, Taylor A, et al. Identifying variant anatomy during ultrasound-guided regional anaesthesia: opportunities for clinical improvement. British Journal of Anaesthesia 2019; 122: 775-7.

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