Leveraging AI and IoT Data for Predictive Modelling and Preventive Healthcare

The integration of Artificial Intelligence (AI) and Internet of Things (IoT) data is revolutionizing predictive modeling and preventive healthcare. This survey paper examines how AI leverages vast amounts of data generated by IoT devices to predict health trends, diagnose diseases early, and provide personalized preventive care. The paper explores the challenges associated with deploying these technologies, such as ensuring data privacy and security, achieving interoperability among diverse IoT devices, and maintaining the accuracy and reliability of AI predictions. Furthermore, the survey highlights future trends and innovations, including the potential for integrating AI and IoT with other emerging technologies like blockchain and edge computing to enhance healthcare delivery. By synthesizing current applications, addressing challenges, and exploring future directions, this survey provides a comprehensive overview of how AI and IoT are poised to advance predictive modeling and preventive healthcare.