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麻醉学中人工智能辅助超声检查:手术室患者评估

Artificial Intelligence-Supported Ultrasonography in Anesthesiology: Evaluation of a Patient in the Operating Theatre.

作者信息

Mika Sławomir, Gola Wojciech, Gil-Mika Monika, Wilk Mateusz, Misiołek Hanna

机构信息

Medica Co., Ltd. (Upper Silesian School of Ultrasonography), 41-500 Chorzów, Poland.

Collegium Medicum, Jan Kochanowski University, 25-317 Kielce, Poland.

出版信息

J Pers Med. 2024 Mar 15;14(3):310. doi: 10.3390/jpm14030310.

Abstract

Artificial intelligence has now changed regional anesthesia, facilitating, therefore, the application of the regional block under the USG guidance. Innovative technological solutions make it possible to highlight specific anatomical structures in the USG image in real time, as needed for regional block. This contribution presents such technological solutions as U-Net architecture, BPSegData and Nerveblox and the basis for independent assisting systems in the use of regional blocks, e.g., ScanNav Anatomy PNB or the training system NeedleTrainer. The article describes also the systems integrated with the USG devices, such as Mindray SmartNerve or GE cNerve as well as the robotic system Magellan which substantially increases the patient's safety, time needed for the regional block and quality of the procedure. All the solutions presented in this article facilitate the performance of regional blocks by less experienced physicians and appear as an excellent educational tool which, at the same time, improves the availability of the more and more popular regional anesthesia. Will, therefore, artificial intelligence replace physicians in regional block procedures? This seems unlikely. It will, however, assist them in a significant manner, contributing to better effectiveness and improved safety of the patient.

摘要

人工智能如今已改变了区域麻醉,从而推动了超声引导下区域阻滞的应用。创新的技术解决方案能够根据区域阻滞的需要,实时突出显示超声图像中的特定解剖结构。本文介绍了诸如U-Net架构、BPSegData和Nerveblox等技术解决方案以及区域阻滞使用中独立辅助系统的基础,例如ScanNav Anatomy PNB或训练系统NeedleTrainer。文章还描述了与超声设备集成的系统,如迈瑞SmartNerve或GE cNerve以及大幅提高患者安全性、区域阻滞所需时间和操作质量的机器人系统Magellan。本文介绍的所有解决方案都有助于经验不足的医生实施区域阻滞,并且是一种出色的教育工具,同时提高了越来越流行的区域麻醉的可及性。那么,人工智能会在区域阻滞操作中取代医生吗?这似乎不太可能。然而,它将极大地协助医生,提高患者的治疗效果并改善安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beab/10970942/4caa2b0e9773/jpm-14-00310-g009.jpg

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