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

被引:23
作者
Hewson, David W. [1 ,2 ]
Bedforth, Nigel M. [2 ]
机构
[1] Nottingham Univ Hosp NHS Trust, Queens Med Ctr, Dept Anaesthesia & Crit Care, Nottingham, England
[2] Univ Nottingham, Sch Med, Acad Unit Injury Recovery & Inflammat Sci, Nottingham, England
关键词
artificial intelligence; peripheral nerve blockade; regional anaesthesia; technical skills; training; ultrasonography;
D O I
10.1016/j.bja.2022.07.049
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
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.
引用
收藏
页码:245 / 247
页数:3
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