Recent breakthroughs in AR and VR in healthcare have proved that technology is important in the present healthcare system. Recently, augmented reality has presented intelligent healthcare applications such wearable-access, telemedicine, remote-surgery, medical-report diagnostics, emergency-medicine, and more. Augmented healthcare apps optimize patient care, efficiency, and cost. This article analyzes Energy efficient VR & AR-based healthcare apps to determine their advances. It solves existing and future issues with user pleasure, convenient prototypes, service availability, maintenance cost, etc. Many AR & VR healthcare applications have been developed, but safe data transmission is still unexplored, which is crucial to progressing this cutting-edge technology. This study also covers AR security and privacy requirements and attack terminologies. We present an artificial intelligence-based dynamic method to develop an intelligent security model to reduce data security risks based on security vulnerabilities. This intelligent model can detect and distinguish threats at the threat detection layer, protecting data during transmission. Threat reduction methods prohibit external attacks in the threat elimination layer. The deployment of AR & VR in healthcare should not be investigated in separate studies on one factor, such as healthcare provider-related hurdles, as is frequent in present literature. This study suggests that AR & VR deployment should include identifying hurdles and creating and implementing a coherent, multi-level intervention with appropriate tactics.