A Comprehensive Review of Artificial Intelligence Advancements in Elder-Care

The need for effective, dependable, and sustainable care solutions has surged due to the world’s aging population. Issues with traditional caregiving include the need for constant supervision, high expenses, and a lack of staff. With its automated help, predictive analysis, and intelligent monitoring, artificial intelligence (AI) presents a viable substitute. Eight important studies on AI-based elder care systems are reviewed in this literature review, including applications such as activity recognition, fall detection, health and emotion monitoring, and smart home integration. The results show that AI reduces caregiver workload while improving older adults’ safety, independence, and quality of life. The need for more research toward adaptive and human-centric AI-driven elder care systems is highlighted by the persistence of problems with data privacy, ethical considerations, sensor dependability, and model generalizability.