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Author
Peng Xia
;
Ji Ruan
;
Dave Parry
;
Jian Yu
;
Sally Britnell
Title
Enhancing Triage Training for Mass Casualty Incidents with Virtual Reality and Artificial Intelligence
Type
Conference Article
Year
2023
Publication
Proceedings of the ISCRAM Asia Pacific Conference 2022
Abbreviated Journal
Proc. ISCRAM AP 2022
Volume
Issue
Pages
68-76
Keywords
Mass Casualty Incidents
;
Triage Training
;
Virtual Reality
;
Artificial Intelligence
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.
Address
Auckland University of Technology; Auckland University of Technology; Murdoch University; Auckland Unviversity of Technology; Auckland University of Technology
Corporate Author
Thesis
Publisher
Massey Unversity
Place of Publication
Palmerston North, New Zealand
Editor
Thomas J. Huggins, V.L.
Language
English
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Practitioners Track
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no
Call Number
ISCRAM @ idladmin @
Serial
2481
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