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人工智能,扩展现实和机器人在干预放射学中的变革性影响:当前趋势和应用

Katelyn Vlastaris¹, Annabelle Alrez¹, Samantha Friedland²

¹Case Western Reserve University School of Medicine, Cleveland, OH.

Techniques in vascular and interventional radiology

|January 19, 2025

概括

像人工智能,机器人和XR这样的数字健康技术 (DHT) 正在迅速推进干预放射学 (IR). 虽然采用正在增长,但需要标准化,以确保DHTs帮助从业人员并改善患者护理.

科学领域:

干预性放射学干预性放射学
数字卫生技术数字卫生技术
医学创新医学创新

背景情况:

干预放射学 (IR) 整合了先进的成像和最少的侵入性程序.
数字健康技术 (DHT),包括人工智能,机器人和XR,正在改变医疗保健.
国际电信对技术的依赖使其成为DHT集成的主要领域.

研究的目的:

探索DHTs对干预放射学的影响.
突出AI,机器人和XR在提高IR精度,效率和结果方面的潜力.
为了应对在IR中标准化DHT实施的挑战.

主要方法:

自2016年以来,分析了与IR中的DHT相关的出版趋势.
对DHT出版物增长率在IR和手术中的比较分析.
审查DHT在IR中的变革性影响和挑战.

主要成果:

自2016年以来,IR中的DHT相关出版物持续增加.
与手术相比,IR研究中的AI (69%),XR (94%) 和机器人学 (192%) 的增长率显著更高.
鉴定缺乏标准化和临床共识的DHT在IR.使用在IR.

结论:

DHT正在彻底改变干预放射学,提供更高的精度和效率.
标准化和临床共识对于在IR中实现最佳DHT集成至关重要.
DHT应该补充,而不是取代IR从业人员,以改善临床和程序实践.

关键词:

人工智能是一种人工智能.数字健康技术数字健康技术电磁跟踪电磁跟踪电磁跟踪扩展现实扩展现实干预性放射学干预性放射学混合现实是一种混合现实.机器人技术机器人技术机器人技术

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