Abstract

This review explores the transformative potential of AI-driven data analytics in enhancing geriatric care, focusing on its applications in health monitoring, personalized treatment, and decision support. As aging populations present new healthcare challenges, AI technologies such as wearable devices, Internet of Things (IoT) systems, and predictive models provide real-time insights into patient health, enabling early intervention and improved chronic disease management. The review also addresses key challenges in implementing AI in geriatric care, including ethical considerations, data privacy issues, and barriers to adoption related to technological literacy and the digital divide. Furthermore, it recommends that healthcare providers, policymakers, and technologists to ensure AI's responsible and equitable integration into geriatric care. The review underscores the need for collaborative efforts to realize AI's potential while safeguarding patient rights and promoting inclusivity in healthcare delivery.