Presented at: T-CAIREM AI in Medicine Conference: Ideas to Impact, Toronto, Canada. October 12–13, 2023.
Publisher: Temerty Centre for AI Research and Education in Medicine, University of Toronto's Press.
Type: Conference Abstract (International).
Abstract Number: 19.
Conference: T-CAIREM AI in Medicine Conference
Summary
This abstract presents the development of prediction algorithms powering the National Early Warning System Two Plus (NEWS2+) integrated with the electronic casualty card system. This component of the Vimy Multi-System research program applies artificial intelligence to enhance early warning capabilities in disaster situations.
The integration of prediction algorithms with the electronic casualty card enables automated risk stratification and clinical decision support, advancing the capability to manage casualties across any disaster scenario.
Citation (APA)
Ons, L., Bahri, W., Lamouchi, O., Abderrazak, J., Jouvet, P., Abid, M., & Bourassa, S. (2023). Prediction algorithms driving the making of the National Early Warning System Two Plus capacity of the electronic casualty card system in any disaster situations – A component of Vimy Multi-System [Abstract]. T-CAIREM AI in Medicine Conference: Ideas to Impact, Toronto, Canada. University of Toronto's Press. https://tcairem.utoronto.ca/event/t-cairem-ai-medicine-conference-ideas-impact