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    AI-powered digital assistant for chronic disease and elderly care management
    (IEEE, 2025) Bayram, Hatice Merve; Gürcan, Zehra; Ayrıç, Esmanur; Gözüaçık, Necip
    The increasing prevalence of chronic diseases and the aging population pose significant challenges to healthcare systems worldwide, necessitating innovative technological solutions to alleviate the burden. Previous studies have explored telemedicine and the integration of AI in healthcare, yet there remains a gap in comprehensive systems that integrate health monitoring, advisory services, and emergency alerts. This research aims to address this gap by developing an AI-powered digital assistant designed to enhance chronic disease management and elderly care. Utilizing a user-centered design approach, the study employs mobile health applications, AI-driven decision support systems, and a hybrid health tracking model that combines automatic and manual data entry. The system architecture includes a mobile application developed with Flutter, backend services using ASP.NET Core, and AI functionalities powered by Microsoft Azure's OpenAI models. Key findings demonstrate the system's effectiveness in improving user engagement in health management, providing timely alerts, and offering personalized health insights, thereby challenging existing assumptions about the limitations of digital health platforms. The study contributes to the field by offering a scalable, user-friendly solution that empowers individuals in managing their health, with practical implications for reducing healthcare dependency and enhancing patient autonomy. Future work will focus on expanding the system's capabilities and conducting real-world user testing to further refine its accessibility and usability.