Artificial Intelligence-Powered Technologies For Independent Living Among Older Adults: A Review

医学 独立生活 老年学
作者
Eugene Gamble,Peter Chami,Tamara Nancoo
出处
期刊:Age and Ageing [Oxford University Press]
卷期号:53 (Supplement_4)
标识
DOI:10.1093/ageing/afae178.177
摘要

Abstract Background The ageing populations in Ireland and around the world has led to an increased focus on technologies that support independent living for older adults. Artificial intelligence (AI) has emerged as a promising solution, with various AI-powered technologies being proposed to assist their daily lives. This review aims to synthesize the findings of studies exploring AI-powered technologies for independent living among older adults. Methods A systematic literature search was conducted using relevant databases, including PubMed, IEEE Xplore, and Google Scholar. The search terms included “artificial intelligence” and “independent living”. Studies published between 2009 and 2023 that investigated AI-powered technologies for independent living among older adults were included in the analysis. Results The included studies investigated various AI-powered technologies including tablets, wearable devices like smartwatches, web portals for carers, Internet of Things (IoT) solutions, user-centered design considerations, the integration of AI with sociology and healthcare, smart home technology, and ambient information systems. The pooled results indicated that AI-powered technologies can improve independent living outcomes for older adults. Benefits included real-time monitoring and health deterioration recognition, fall detection, personalised care, cognitive assistance and reduced isolation. User-centered design approaches and the integration of AI with sociology and healthcare were also found to be essential factors in the successful implementation of these technologies. Conclusion This analysis provides evidence supporting the effectiveness of AI-powered technologies in promoting independent living among older adults. IoT solutions and smart home technology appear to be particularly promising. However, the successful implementation of these technologies requires a multidisciplinary approach, incorporating user-centered design and the integration of AI with sociology and healthcare. Further research is needed to explore the long-term impact of AI-powered technologies on the well-being and autonomy of older adults.

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