Real-Time Healthcare Diagnostics and Resource Management using Deep Learning-Powered IoT and VANET

This paper introduces HealthVANEX, a new system that combines Deep Learning (DL), the Internet of Things (IoT), and Vehicular Ad Hoc Networks (VANET) to improve real-time healthcare diagnostics and resource management. The system uses IoT devices to continuously monitor patients and VANET to enable fast communication between mobile healthcare units and hospitals. By leveraging deep learning models, HealthVANEX quickly analyzes patient data to provide timely diagnoses and ensure that resources are used efficiently. In comparison to earlier VANET-based systems, HealthVANEX is 30% faster in diagnosing patients and cuts resource allocation delays by 25%. This makes the system especially useful in emergency situations where quick decisions and effective communication are critical. With its ability to streamline healthcare operations, HealthVANEX shows great potential for improving the speed and efficiency of emergency care.