【人工智能超声引导局部神经阻滞3例】。

IF 0.8 Q3 MEDICINE, GENERAL & INTERNAL Agri-The Journal of the Turkish Society of Algology Pub Date : 2023-07-01 DOI:10.14744/agri.2021.56887
Gökhan Erdem, Yasemin Ermiş, Derya Özkan
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引用次数: 2

摘要

超声在区域麻醉中的应用对确定可变解剖结构及其定位起着重要作用。在这些日子里,超声设备和探头的发展,硬件和软件技术,如实时针尖跟踪正在迅速增加。人工智能超声检查就是其中之一。在本病例报告中,我们旨在介绍三个使用人工智能驱动(Nerveblox)超声应用区域阻滞的病例。两名患者的锁骨下神经阻滞第三名患者的胸神经阻滞一次成功。所有患者均未出现血管穿刺或局部麻醉毒性。在周围神经阻滞中使用人工智能支持可以减少干预的次数和持续时间。
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[Artificial intelligence-powered ultrasound guided regional nerve block in three patients: Case report].

The use of ultrasound in regional anesthesia plays an important role in determining the variable anatomical structures and their localization. In these days, developments in ultrasonography devices and probes, hardware, and software technologies such as real-time needle tip tracking are increasing rapidly. Artificial intelligence-powered ultrasonography is one of them. In this case report, we aimed to present three cases where regional block was applied using artificial intelligence-powered (Nerveblox) ultrasound. Infraclavicular nerve block to two of our patients and pectoral nerve block to the third one were applied successfully once at a time. None of the patients developed vascular puncture or local anesthetic toxicity. The use of artificial intelligence support in peripheral nerve blocks may reduce the number of attempts and duration of interventions.

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CiteScore
1.00
自引率
16.70%
发文量
22
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