Smart Elderly Care with Predictive AI Analytics

The growing elderly population worldwide presents significant challenges for healthcare systems, caregivers, andpolicymakers. With aging comes a higher risk of chronic conditions, cognitive decline, mobility issues, and social isolation.Traditional models of elder care are increasingly strained, leading to the need for intelligent, scalable, and proactive approaches.Predictive Artificial Intelligence (AI) analytics has emerged as a transformative solution in smart elderly care, leveraging datafrom various sources such as wearable sensors, home monitoring systems, electronic health records, and behavioral data topredict health events and enable timely interventions. This paper explores how predictive AI is reshaping elderly care byenhancing disease prevention, enabling fall detection and prediction, improving medication management, supporting cognitivehealth, and facilitating independent living. It also addresses ethical considerations, data privacy, system design challenges, andthe future potential of AI in fostering a more responsive and dignified aging experience.