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

Abstract

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

CLC Number:

R592
TP3

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.

References

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Advances of the application of artificial intelligence in fall risk management in the elderly

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