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人工智能辅助超声波导向区域麻醉:一个探索性范围审查

Martina Marino^1,2, Rebecca Hagh³, Eric Hamrin Senorski^3,4

¹Fondazione Policlinico Universitario Campus Bio-Medico Via Alvaro del Portillo Roma Italy.

Journal of experimental orthopaedics

|August 15, 2024

概括

人工智能 (AI) 通过改善解剖识别和针位置来增强超声引导区域麻醉 (UGRA). 人工智能协助带来了更好的结果和积极的操作员反,在UGRA程序中显示了它的承诺.

科学领域:

医学成像和干预手术程序
人工智能在医学中的应用
区域麻醉技术区域麻醉技术

背景情况:

超声导向区域麻醉 (UGRA) 是现代疼痛管理的基石.
人工智能 (AI) 的进步有可能提高UGRA的精度和安全性.
评估人工智能辅助UGRA的有效性对于临床采用至关重要.

研究的目的:

审查关于人工智能辅助UGRA的科学文献.
评估人工智能辅助UGRA的程序内参数和程序后结果.
评估人工智能对准确性,成功率和操作体验的影响.

主要方法:

在多个数据库 (Medline,EMBASE,CINAHL,Cochrane,Google Scholar) 中进行全面的文献搜索.
包括所有研究设计,不限制患者特征或队列大小.
评估AI模型跟踪准确性,第一次尝试成功,比较结果和操作员反.

主要成果:

联合自适应中间二进制模式 (JAMBP) 与颗粒过器 (PF) 结合,在地标识别中表现出高精度.
与无辅助UGRA相比,人工智能辅助UGRA在正确的块视图,结构识别和减少注射时间,针调整和骨接触方面显示了统计学上显著的改善.
在专家和非专家用户中,对人工智能辅助的UGRA的操作员反总体上是积极的.

结论:

人工智能在增强超声波导向区域麻醉程序方面显示出显著的希望.
人工智能辅助的UGRA可以改善解剖结构识别和针指导,可能减少并发症.
人工智能应用也可能对操作员培训产生积极影响,并改善区域麻醉患者的治疗结果.

关键词:

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