一个二维人工智能摄像机软件应用程序的有效性和可靠性,用于评估手,手腕和前臂的运动范围
Alexander D Jeffs1, Andrew D Allen1, Stephen M Himmelberg1
1Department of Orthopaedics, the University of North Carolina, 130 Mason Farm Road, Chapel Hill, NC.
The Journal of hand surgery
|February 7, 2026
概括
一个新的二维人工智能 (AI) 摄像机应用程序显示了对上肢运动测量范围的卓越可靠性. 虽然通常是准确的,但某些手腕和前臂运动需要进一步验证临床使用.
科学领域:
- 整形外科 整形外科 整形外科
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 准确的运动范围 (ROM) 测量对于诊断和管理上肢疾病至关重要.
- 传统的测法可能会耗费大量时间,并且会受到评价者之间变化的影响.
- 由人工智能驱动的工具为客观和高效的ROM评估提供了潜力.
研究的目的:
- 为了评估二维人工智能摄像机应用程序的心理特征,用于上肢ROM测量.
- 评估人工智能应用程序与手动度测量之间的可靠性和并发有效性.
- 为了比较人工智能应用程序和手动度测量之间的测量时间.
主要方法:
- 50名患有上肢病理的患者接受了27次ROM测量.
- 测量过程中使用手术手术师手动形计和2D人工智能相机应用程序进行测量.
- 评估者间可靠性 (ICC) 和并发有效性是主要结果;测量时间是次要的.
主要成果:
- 人工智能应用程序表现出了优异的整体评级者间可靠性 (ICC 0.99).
- 对81%的动作观察到高同时有效性,对于特定的前臂和手指运动的有效性较低.
- 人工智能应用程序的测量速度明显快 (60秒) 比手动度测量 (273秒).
结论:
- 2D AI摄像机应用程序在大多数上肢ROM测量中表现出卓越的可靠性和高有效性.
- 对于前臂俯卧,手腕延伸和某些手指ROM存在限制.
- 人工智能应用程序显示出作为上肢ROM的临床或远程监测工具的潜力,有所例外.
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