Reviews
5 August 2025
Vol. 3 No. 1 (2025)
The integration of artificial intelligence in regional anesthesia: perspectives, challenges, and opportunities
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Artificial intelligence (AI) presents new opportunities in medicine for enhancing clinical outcomes, professional training, and healthcare organizations. We emphasize the importance of thoroughly understanding new technologies and defining their potential and limitations, promoting the construction of multidisciplinary collaborations to provide modern, comprehensive anesthesiological training.
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Citations
1. Görmüş SK. Integrative Artificial Intelligence in Regional Anesthesia: Enhancing Precision, Efficiency, Outcomes and Limitations. J Int Healthc Pract 2024;5:52-66. DOI: https://doi.org/10.58770/joinihp.1435169
2. Karmakar A, Khan MJ, Abdul-Rahman MEF, Shahid U. The Advances and Utility of Artificial Intelligence and Robotics in Regional Anesthesia: An Overview of Recent Developments. Cureus 2024;16:e44306. DOI: https://doi.org/10.7759/cureus.44306
3. Balavenkatasubramanian J, Kumar S, Sanjayan RD. Artificial intelligence in regional anaesthesia. Indian J Anaesth 2024;68:100-4. DOI: https://doi.org/10.4103/ija.ija_1274_23
4. Bowness J, Varsou O, Turbitt L, Burkett-St Laurent D. Identifying anatomical structures on ultrasound: Assistive artificial intelligence in ultrasound-guided regional anesthesia. Clin Anat 2021;34:802-9. DOI: https://doi.org/10.1002/ca.23742
5. Huang C, Zhou Y, Tan W, et al. Applying deep learning in recognizing the femoral nerve block region on ultrasound images. Ann Transl Med 2019;7:453. DOI: https://doi.org/10.21037/atm.2019.08.61
6. Cai N, Wang G, Xu L, et al. Examining the impact of perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block: simulation-based randomized study. BMC Anesthesiol 2022;22:343. DOI: https://doi.org/10.1186/s12871-022-01937-6
7. Bowness JS, Macfarlane AJR, Burckett-St Laurent D, et al. Evaluation of the impact of assistive artificial intelligence on ultrasound scanning for regional anaesthesia. Br J Anaesth 2022;130:226-33. DOI: https://doi.org/10.1016/j.bja.2022.07.049
8. Shokoohi H, LeSaux MA, Roohani YH, et al. Enhanced point-of-care ultrasound applications by integrating automated feature-learning systems using deep learning. J Ultrasound Med 2019;38:1887-97. DOI: https://doi.org/10.1002/jum.14860
9. Blaivas M, Arntfield R, White M. Creation and testing of a deep learning algorithm to automatically identify and label vessels, nerves, tendons, and bones on cross-sectional point-of-care ultrasound scans for peripheral intravenous catheter placement by novices. J Ultrasound Med 2020;39:1721-7. DOI: https://doi.org/10.1002/jum.15270
10. Delvaux B. cNerve, AI to Assist in Ultrasound-Guided Nerve Blocks. Available from: https://www.gehealthcare.com/-/jssmedia/gehc/us/files/products/ultrasound/venue-family/whitepaper-cnerve-pocus-venue-family-jb20312xx.pdf [accessed on 1 January 2024].
11. Mika S, Gola W, Gil-Mika M, et al. Artificial intelligence-supported ultrasonography in anesthesiology: evaluation of a patient in the operating theatre. J Pers Med 2024;14:310. DOI: https://doi.org/10.3390/jpm14030310
12. Choudhary N, Gupta A, Gupta N. Artificial intelligence and robotics in regional anesthesia. World J Methodol 2024;14:95762. DOI: https://doi.org/10.5662/wjm.v14.i4.95762
How to Cite
The integration of artificial intelligence in regional anesthesia: perspectives, challenges, and opportunities. (2025). Advances in Anesthesia and Pain Medicine, 3(1). https://doi.org/10.4081/aapm.51.
Copyright (c) 2025 the Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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