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

Author:

Mika Sławomir1,Gola Wojciech2,Gil-Mika Monika3,Wilk Mateusz4,Misiołek Hanna5

Affiliation:

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

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

3. Municipal Hospital Co., Ltd., 41-703 Ruda Śląska, Poland

4. Collegium Medicum, WSB University, 41-300 Dąbrowa Górnicza, Poland

5. Department of Anaesthesiology and Critical Care, School of Medicine with the Division of Dentistry, Medical University of Silesia, 41-808 Zabrze, Poland

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.

Publisher

MDPI AG

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