人工智能在老年人跌倒风险管理中的应用进展

doi:10.3969/j.issn.1003-9198.2025.08.002

摘要/Abstract

摘要： 跌倒是常见的老年人健康问题。近年来,人工智能(artificial intelligence,AI)在跌倒风险管理方面展现出独特优势。本文从跌倒风险预测的数据来源、数据采集方式、算法应用,以及跌倒检测技术、智能助行与脑机接口技术改善平衡和步行能力等方面阐述了AI在老年人跌倒风险管理中的研究进展,以期为推动AI应用于老年人跌倒风险管理提供参考。

关键词: 人工智能, 跌倒, 老年人

Abstract: Falls are a common health issue among the elderly. In recent years, artificial intelligence (AI) has shown unique advantages in fall risk management. This article discusses the research progress of AI in fall risk management for the elderly, covering data sources, data collection methods, algorithm applications, fall detection technology, and the improvement of balance and walking ability through intelligent mobility aids and brain-computer interface technology. It aims to provide a reference for the application of AI in fall risk management for the elderly.

Key words: artificial intelligence, falls, aged

中图分类号:

R592
TP3

江会增, 刘金娜, 张丹丹, 张洁. 人工智能在老年人跌倒风险管理中的应用进展[J]. 实用老年医学, 2025, 39(8): 762-767.

JIANG Huizeng, LIU Jinna, ZHANG Dandan, ZHANG Jie. Advances of the application of artificial intelligence in fall risk management in the elderly[J]. Practical Geriatrics, 2025, 39(8): 762-767.

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