基于人工智能的步态评估在检测,预测和管理帕金森病的优势
Peng Wu1, Biwei Cao2,3,4, Zhendong Liang1
1College of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan, Hubei, China.
Frontiers in aging neuroscience
|July 28, 2023
概括
人工智能 (AI) 步态分析通过改善诊断和预防跌倒来帮助帕金森病 (PD) 管理. 这项技术提供持续监测和个性化治疗,以增强运动功能.
科学领域:
- 神经学 神经学
- 生物医学工程 生物医学工程
- 人工智能的人工智能
背景情况:
- 帕金森病 (PD) 是一种神经退行性疾病,其特点是步态障碍,增加跌倒风险.
- 早期检测和预测步行结对于管理PD症状和进展至关重要.
研究的目的:
- 审查基于人工智能 (AI) 的步态评估在帕金森病诊断和管理中的应用.
- 评估AI在提高PD患者临床决策和治疗策略方面的潜力.
主要方法:
- 关于在帕金森病中基于人工智能的步态分析研究的综合文献综述.
- 识别和综合研究AI在诊断和管理PD症状中的作用.
主要成果:
- 基于人工智能的步态评估表明,在预防结发作和提高PD诊断准确度方面,有很大的潜力.
- 这项技术促进了持续的患者监测,并使个性化治疗干预成为可能,从而提高了运动独立性.
结论:
- 人工智能驱动的步态评估系统在改变帕金森病管理方面显示出相当大的前景.
- 进一步的研究对于验证AI的有效性和优化其融入临床实践以改善患者的治疗结果至关重要.
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