Grant: Travel Awards - Institute Community Support

This study aims to help medical teams work better during emergencies, such as pediatric cardiac arrest, by using AI agents inside an augmented reality (AR) system. Our AR tool offers real-time, role-specific guidance through holographic visuals, helping team leaders, medication nurses, and charting nurses follow protocols and make quick decisions. Three types of AI agents-text-based, voice-based, and embodied-are compared and analyzed, and provide step-by-step support using dynamic data, which improves teamwork and reduces the chances of errors compared to traditional methods like paper guidelines and verbal instructions. Using tools such as Microsoft HoloLens 2 and the Unity platform, the system adapts to different hospital environments, tracking medication algorithms and logging team performance across multiple institutions. Medical professionals participating in the study experience both standard practice and AI-assisted care, allowing a direct comparison of teamwork, workload, and accuracy. The results are expected to show that AI agents make emergency care safer, easier, and more reliable, with possible impacts on real hospital settings in the future.