Published Paper Details:

Chronic diseases such as diabetes, cardiovascular conditions, and respiratory illnesses represent some of the most persistent and resource-intensive challenges in modern healthcare. With the increasing global burden of these conditions, the healthcare industry is turning to digital technologies for sustainable solutions. This paper explores the integration of wearable technology and artificial intelligence (AI) as a transformative approach to managing chronic diseases. Wearables, equipped with sensors and connectivity features, continuously collect real-time physiological data such as heart rate, glucose levels, and physical activity. When combined with AI-driven analytics, this data becomes a powerful tool for early detection, personalized treatment, and continuous monitoring. The paper examines the core technologies underpinning wearable-AI synergy, reviews current applications across chronic disease domains, and evaluates ethical, regulatory, and operational considerations. Additionally, it outlines challenges such as data fragmentation, user adherence, and algorithmic transparency. Future innovations like federated learning, smart fabrics, and explainable AI hold immense promise in improving the scalability and reliability of these systems. Through a comprehensive analysis, this study underscores how wearable and AI integration can revolutionize chronic disease care, shifting healthcare from reactive treatment to proactive, data-driven intervention.