Date of Award
6-20-2025
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2025
Departments
Computer Science and Engineering; Electrical and Computer Engineering
First Advisor
Krishna Ramamoorthy
Abstract
Augmented Reality (AR) has demonstrated considerable promise for future mobile technologies, offering the ability to overlay crucial information within a user’s vision while they can still maintain awareness of the surrounding environment. Similarly, Artificial Intelligence (AI) is an increasingly influential technology with significant potential to revolutionize the medical field. Its ability to rapidly learn and adapt to specific tasks makes it particularly promising for supporting paramedics during emergency calls. AI can efficiently analyze real-time data and present it in a concise, actionable format, enhancing decision making in critical situations.
Given the potential of these technologies, we have developed a smart AR headset designed to leverage AI for the benefit of first responders. This innovative device transcribes and analyzes real-time dialogue between patients and paramedics, extracting and displaying key information. This allows paramedics to review essential details during patient care and when completing necessary documentation, ultimately improving the quality and efficiency of emergency medical services. Furthermore, our headset is capable of providing 3D holographic visuals that display procedures and checklists for patient treatment, as well as using cloud computing algorithms that interpret conversations to automate the collection of patient data for scenario reports.
Recommended Citation
Calder, Logan; Johnson, Grant; Alvarado, John; and Landers, Jack, "EMT Vision" (2025). Computer Science and Engineering Senior Theses. 321.
https://scholarcommons.scu.edu/cseng_senior/321
