Artificial intelligence for image interpretation in ultrasound-guided regional anaesthesia
- PMID: 32726498
- DOI: 10.1111/anae.15212
Artificial intelligence for image interpretation in ultrasound-guided regional anaesthesia
Keywords: anatomy; artificial intelligence; blocks; machine learning; regional anaesthesia; ultrasound.
References
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- Scholten HJ, Pourtaherian A, Mihajlovic N, et al. Improving needle tip identification during ultrasound-guided procedures in anaesthetic practice. Anaesthesia 2017; 72: 889-904.
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- 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.
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- 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.
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- Turbitt LR, Mariano ER, El-Boghdadly K. Future directions in regional anaesthesia: not just for the cognoscenti. Anaesthesia 2020; 75: 293-7.
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- 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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