Cloud Based AIVR Training System for Emergency Rescue

This paper mainly discusses the current situation and existing problems of training exercises in emergency medicial scenarios, as well as the importance and necessity of developing an AI training system for emergency medical scenarios. First, we introduce the current status of emergency medical training and emphasize the potential value of AI technology in this field. Then, the goal of developing an AI training system is defined as improving the efficiency and quality of medical education and training. We summarize the advantages of AI technology in emergency medical exercises and make a review and selection analysis of its related technologies. In the design and implementation stage, we describe in detail the requirement analysis, function design, system architecture, and core module development of the emergency medical AI training system. After system integration and testing, we verified the feasibility and effect of the system. In the process of evaluation and optimization, we evaluated the performance and user experience of the system and put forward optimization strategies and security considerations for the problems. In the application case analysis, we collect user feedback to verify its efficiency and carry out an in-depth analysis of the advantages and disadvantages of the system. Finally, in the conclusion and prospect part, we summarize the research results, point out the existing problems and improvement directions and look forward to the future development trends and challenges of AI training systems for emergency medical scenarios.