姿势管理中的人工智能:检测,纠正和临床适用性的批判性审查
Yaşar Köroglu1, Elham Hosseini2, Ziya Bahadır3
1Faculty of Sports Sciences, Sivas Cumhuriyet University, Sivas, Turkey.
Journal of orthopaedic surgery and research
|January 22, 2026
概括
人工智能 (AI) 和人类姿势估计 (HPE) 提供客观的实时姿势分析,改善肌肉骨健康监测. 需要进一步的临床验证和以用户为中心的设计才能得到广泛采用.
科学领域:
- 生物医学工程 生物医学工程
- 计算机科学 计算机科学
- 临床研究 临床研究
背景情况:
- 不良的姿势和肌肉骨问题是全球日益严重的健康问题.
- 传统的姿势评估是主观的,缺乏持续监测能力.
- 人工智能 (AI) 和人类姿势估计 (HPE) 提供了新的客观实时分析可能性.
研究的目的:
- 批判性地审查和评估当前用于姿势管理的AI技术.
- 综合人工智能和HPE在姿势检测,监测和纠正方面的最新进展.
- 确定人工智能在姿势健康方面的挑战和未来方向.
主要方法:
- 在过去十年的姿势管理中对AI和HPE的批判性文献综述.
- 从计算机科学,生物工程和临床研究中综合研究.
- 对AI模型精度,应用程序和实时反系统的评估.
主要成果:
- 基于人工智能的HPE模型在量化姿势参数方面显示出高精度,超过了传统方法.
- 应用正在扩展到人体工程学和体育表现,人工智能能够实现远程康复.
- 挑战包括有限的大规模临床试验,概括性问题和数据隐私问题.
结论:
- 人工智能具有显著的潜力,可以通过客观,连续和可访问的工具彻底改变姿势管理.
- 未来的努力需要严格的临床验证,以用户为中心的设计和有效实施的伦理框架.
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