Role of artificial intelligence in health monitoring using IoT based wearable sensors: A survey

With the rising demand for rapid and accurate medical diagnosis and the widespread adoption of Internet of Things (IoT) technologies, healthcare delivery is undergoing a major transformation in patient monitoring, diagnosis, and prognosis. The growth of virtual healthcare providers and remote consultations further increases the need for efficient systems that can process large volumes of real-time health data. In this context, integrating artificial intelligence (AI) with IoT-based healthcare systems plays an essential role in enabling predictive analytics, early anomaly detection, and real-time clinical decision-making. This paper examines the role of AI in enhancing the performance of IoT-enabled wearable health monitoring devices, with a focus on data transmission efficiency, energy consumption, communication protocols, and overall system reliability. Our analysis highlights that AI integration significantly improves accuracy, adaptability, and patient-centric outcomes. The paper concludes by outlining the current challenges such as energy limitations, data privacy, and interoperability and discusses future research directions for developing next-generation IoT-based wearable healthcare systems.