Aging With Artificial Intelligence: How Technology Enhances Older Adults’ Health and Independence

独立性(概率论) 健康衰老 老年学 心理学 计算机科学 医学 数学 统计
作者
Lisa K. McDaniel,Ime Essien,Samuel Lefcourt,Ephrata Zelleke,Arushi Sinha,Rama Chellappa,Peter Abadir
出处
期刊:The Journals of Gerontology [Oxford University Press]
卷期号:80 (7) 被引量:1
标识
DOI:10.1093/gerona/glaf086
摘要

Abstract Background As the global population ages healthcare challenges are escalating. Frailty, a clinical syndrome characterized by decreased reserve and resilience to stressors, is critically linked to adverse health outcomes in older adults. However, artificial intelligence (AI)-driven technologies offer promising solutions for revolutionizing older individuals care and enhancing senior health and independence. Objective This paper explores how AI-driven technologies, including wearables, nonwearable devices, and wireless systems, are transforming senior care. These innovations enable continuous health monitoring, fall detection, medication adherence, and cognitive assistance. Recent Findings Recent advancements in sensor technology, machine learning/AI algorithms, and user interface design have made these technologies more effective and accessible to older adults. Key benefits include early health issue detection, improved medication adherence, reduced hospitalizations, extended independent living, and improved quality of life. Privacy concerns, ease of use, and technology adoption are challenges that must be addressed. Conclusion Thoughtfully designed AI wearables and supportive policies and infrastructure can significantly enhance seniors’ quality of life while reducing caregiver burden and healthcare costs. As technology advances, AI-driven solutions across wearable, nonwearable, and wireless devices are set to become indispensable in global strategies for healthy aging.

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