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Author (up) Peng Xia; Ji Ruan; Dave Parry; Jian Yu; Sally Britnell pdf  openurl
  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 Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Track Practitioners Track Expedition Conference  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2481  
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