Keywords
Health care
Artificial intelligence
Geriatric care systems
Submitted : 2026-01-26
Accepted : 2026-02-10
Published : 2026-02-25
Abstract
Global aging necessitates a paradigm shift in elderly care from reactive treatment to proactive, integrated health management. This transition is enabled by a synergistic framework combining Internet of Things sensing for continuous monitoring, Artificial intelligence for predictive analytics and personalization, and assistive robotics for physical and psychosocial support. These technologies converge to create continuous, person-centered service chains within inclusive environments. However, significant challenges in technology reliability, data governance, social acceptance, commercial viability, and adaptive policy-ethics frameworks hinder implementation. Future evolution, therefore, requires agile governance, human-centered design, and cross-sector collaboration to build sustainable, trustworthy, and equitable intelligent care ecosystems that truly enhance the well-being and dignity of older adults.
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