Enhancing Triage Training for Mass Casualty Incidents with Virtual Reality and Artificial Intelligence

Date
2022-11
Authors
Xia, Peng
Ruan, Ji
Parry, David
Yu, Jian
Britnell, Sally
Supervisor
Item type
Conference Contribution
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Thomas J. Huggins, V.L.
Abstract

Mass casualty incidents (MCIs) occur with natural or man-made disasters. Training emergency staff for combating MCIs is essential, but the cost can be high as such incidents rarely occur, and a physical simulation is resource-intensive. Triage is a critical task in dealing with MCIs. In this paper, we propose to use Virtual Reality (VR) and Artificial Intelligence (AI) technologies to build a low-cost, high-efficient system for MCI triage training. Our system captures more comprehensive training data and utilizes state-of-the-art AI evaluation methods.

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Source
ISCRAM Asia Pacific Conference 2022, Proceedings of the ISCRAM Asia Pacific Conference 2022, Thomas J. Huggins, V.L. Massey University, Palmerston North, New Zealand, pp 68-76.
DOI
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