AI-enhanced AR/VR systems for remote healthcare for overcoming real-time data integration and security challenges with IoT

Abstract

Augmented reality and virtual reality are changing the healthcare sector, allowing for more immersive and interactive solutions for remote patient care and medical training. These technologies have opened new possibilities for telemedicine—new ways of delivering treatments in real-time and monitoring patients, for example. However, the challenges for AR/VR systems include the real-time integration of data from IoT-enabled medical devices and ensuring the security and privacy of sensitive patient data. This paper presents a cutting-edge AI-enhanced framework for AR/VR in remote healthcare to address these critical issues. It integrates edge computing to ensure minimal latency and system responsiveness; blockchain technology to secure the transaction of data; and federated learning to train AI models while maintaining the privacy of patients. Leveraging the advanced capabilities of the HTC VIVE Pro 2 kit, the framework supports several applications, including remote physiotherapy, surgical guidance, and real-time health monitoring. All the developed applications are tested in simulated real-world scenarios to check the performance of the system in terms of latency, adaptability, security, and user satisfaction. The experiments conducted show vast improvements in terms of data transmission efficiency, system robustness, and user engagement as a whole, proving that the proposed solution is very feasible and scalable. Hence, the research conducted signifies the significance of integrating AI, IoT, and AR/VR to address healthcare issues, paving the way for future breakthroughs. This research contributes to a new frontier for patient-centric, data-driven, and highly interactive healthcare systems by laying a secure and intelligent base platform for remote care.