人工智能驱动的社区居民虚拟康复:一个范围审查
Ali Abedi1, Tracey J F Colella2, Maureen Pakosh3
1KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada. ali.abedi@uhn.ca.
NPJ digital medicine
|February 3, 2024
概括
虚拟康复 (VRehab) 中的人工智能 (AI) 显示出改善家庭患者结果的希望. 需要进一步的研究才能充分理解AI.
科学领域:
- 康复医学 康复医学 康复医学
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 虚拟康复 (VRehab) 为身体和心理健康提供基于社区的改善.
- VRehab生成多模式数据,为人工智能 (AI) 应用创造机会.
- 人工智能可以测量,检测和预测VRehab.com中的患者健康结果.
研究的目的:
- 对人工智能在家庭VRehab计划中的应用和有效性进行范围审查.
- 探索人工智能技术如何集成到家庭成年患者的VRehab中.
主要方法:
- 在PubMed/MEDLINE,Embase,IEEE Xplore,Web of Science和谷歌学者中搜索到2023年6月.
- 选了2172个独特的标题/摘要和51个全文研究.
- 包括13项应用人工智能的研究,用于成人患者的家庭VRehab.
主要成果:
- 人工智能算法分析了传感器数据,以推断患者的健康结果,主要是运动质量和反.
- 常见的AI方法包括模糊的基于规则的系统,模板匹配和深度神经网络.
- 很少有研究专注于人工智能在家庭VRehab,尽管它的潜力.
结论:
- 将人工智能集成到家庭VRehab中可能会提高患者康复结果.
- 需要更多的研究来评估人工智能驱动的家庭VRehab的有效性,并应对挑战.
- 对于未来的VRehab研究中的AI,需要标准化指标.
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