Enhancing Triage Training for Mass Casualty Incidents with Virtual Reality and Artificial Intelligence
| aut.relation.conference | ISCRAM Asia Pacific Conference 2022 | |
| dc.contributor.author | Xia, Peng | |
| dc.contributor.author | Ruan, Ji | |
| dc.contributor.author | Parry, David | |
| dc.contributor.author | Yu, Jian | |
| dc.contributor.author | Britnell, Sally | |
| dc.contributor.editor | Huggins, T | |
| dc.contributor.editor | Lemiale, V | |
| dc.date.accessioned | 2023-08-28T02:41:22Z | |
| dc.date.available | 2023-08-28T02:41:22Z | |
| dc.date.issued | 2022-11 | |
| dc.description.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. | |
| dc.identifier.citation | 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. | |
| dc.identifier.uri | http://hdl.handle.net/10292/16615 | |
| dc.publisher | Thomas J. Huggins, V.L. | |
| dc.relation.uri | http://tinyurl.com/3chs6he4 | |
| dc.rights | Authors retain the right to place his/her publication version of the work on a personal website or institutional repository for non commercial purposes. The definitive version was published in (see Citation). The original publication is available at (see Publisher’s Version). | |
| dc.rights.accessrights | OpenAccess | |
| dc.title | Enhancing Triage Training for Mass Casualty Incidents with Virtual Reality and Artificial Intelligence | |
| dc.type | Conference Contribution | |
| pubs.elements-id | 501449 |
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