Abstract

The integration of artificial intelligence (AI) and adaptive communication systems within smart city healthcare frameworks holds transformative potential for chronic disease management. As urban populations face increasing challenges from the prevalence of chronic conditions, AI-driven solutions enable real-time, personalized healthcare, optimizing patient outcomes and resource efficiency. This chapter explores the application of AI algorithms and adaptive communication strategies in the continuous monitoring of chronic diseases such as diabetes, cardiovascular diseases, and respiratory disorders. Emphasis was placed on the role of wearable devices, real-time data processing, and low-latency communication networks, which facilitate timely intervention and improve treatment precision. Additionally, the chapter examines case studies that demonstrate the successful implementation of AI-powered health systems in urban environments, highlighting their effectiveness in personalized care, predictive analytics, and healthcare optimization. The convergence of AI, adaptive communication, and smart city infrastructure presents significant opportunities to enhance chronic disease management, reduce healthcare burdens, and ensure sustainable urban health systems. Key challenges, including data privacy, scalability, and integration with existing healthcare infrastructure, are also discussed, offering insights into the future of AI-powered urban healthcare. 

Introduction

The integration of artificial intelligence (AI) into healthcare systems has become a focal point for addressing the challenges posed by chronic diseases in urban environments [1]. With the growing prevalence of conditions such as diabetes, cardiovascular diseases, and respiratory disorders, there was an increasing need for continuous monitoring and personalized care [2]. Traditional healthcare models often struggle to keep pace with the demands of managing chronic diseases in large, densely populated urban areas [3]. the convergence of AI, adaptive communication systems, and smart city infrastructure presents a unique opportunity to revolutionize how chronic diseases are managed [4]. These technological advancements can provide real-time monitoring, personalized treatment plans, and early intervention, significantly improving health outcomes for urban populations [5].

AI-driven solutions have the potential to drastically change how chronic disease management was approached in urban environments [6]. Wearable devices, such as smartwatches and health monitors, are equipped with sensors that track various health parameters, including heart rate, glucose levels, and oxygen saturation [7]. These devices continuously collect data that was processed by AI algorithms capable of identifying trends, predicting health risks, and suggesting personalized interventions [9]. Adaptive communication systems ensure that this data was transmitted efficiently, allowing healthcare providers to monitor patient health in real-time [10]. This capability was particularly valuable in urban healthcare systems, where healthcare providers are often faced with high patient volumes and limited resources [11]. The seamless integration of AI into chronic disease management can enhance the quality of care by providing healthcare professionals with accurate, actionable insights in real-time [12].