AI-Powered Predictive Analytics for Chronic Disease Monitoring and Management
Abstract
The integration of artificial intelligence (AI) in chronic disease management is reshaping healthcare by offering personalized, predictive, and data-driven solutions for effective treatment and monitoring. This chapter explores the transformative role of AI-powered systems in managing chronic conditions such as diabetes, cardiovascular diseases, and respiratory disorders. AI-driven predictive analytics enable the early detection of disease progression, allowing for tailored interventions that improve patient outcomes and reduce healthcare costs. Machine learning models, integrated with wearable devices and real-time monitoring systems, provide clinicians with continuous, actionable insights, leading to dynamic and personalized treatment strategies. The chapter also delves into the potential of AI in optimizing drug regimens and enhancing diagnostic precision, offering a comprehensive overview of how AI is enhancing chronic disease management. Despite challenges such as data privacy concerns and the need for standardized health data, the evolution of AI technologies holds immense promise for revolutionizing personalized care in chronic disease management. This chapter underscores the importance of AI in empowering both patients and healthcare providers, ensuring timely interventions and improving the long-term quality of care.
Fields of Study & Subjects
Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare and Education
Internet of Things and AI
Publication details
- Pages
- 166–191
- Publication date
- 14 January 2026
- Document type
- Book chapter