世界上第一个基于人工智能对跨辐射手术中管导管稳定性的评估:可行性研究
Shunsuke Tanoue1,2, Yuya Sakakura3, Kenichi Kono4,5
1Department of Neurosurgery, Mishuku Hospital, Tokyo, Japan.
Journal of neuroendovascular therapy
|June 23, 2025
概括
人工智能 (AI) 可以在手术过程中评估神经内血管装置的稳定性. 这项研究表明,AI可用于评估Rist导管的可行性.
科学领域:
- 神经内血管疗法 神经内血管疗法
- 医疗器械技术 医疗器械技术
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 通过设备评估显示了通过推进神经内血管治疗的潜力.
- 人工智能在现实世界的神经内血管程序中的临床应用目前是有限的.
- 越来越多地采用跨辐射方法 (TRA) 来进行神经内血管干预.
研究的目的:
- 为了验证基于人工智能的定量设备评估在实际的神经内血管程序中的可行性.
- 在放置流量转向支架 (FDS) 期间评估Rist辐射接入导管的稳定性.
- 探索AI在现实世界设备评估中的实用性.
主要方法:
- 通过TRA通过Rist导管放置FDS的4个案例的回顾性分析.
- 使用AI技术 (神经血管辅助) 在光镜视频中跟踪Rist导管.
- 计算Rist移动距离作为导管稳定性的定量指标.
主要成果:
- 所有手术都成功完成,没有任何并发症.
- 评估了式导管的稳定性,平均最大移动距离为3.03mm和1.42mm/min.
- 定量测量表明,Rist导管在FDS手术中具有足够的稳定性.
结论:
- 人工智能技术可用于在TRA程序中对设备稳定性的定量分析.
- 这是使用人工智能在临床环境中首次对设备功能进行临床评估.
- 需要进一步的研究来验证这些发现,但该方法对现实世界的设备评估和开发充满希望.
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