Optimizing patient triage and transfer during mass casualty incidents: An artificial intelligence-based platform
Mass casualty incidents (MCIs) require rapid decision-making under extreme uncertainty. MCIs are associated with high costs, preventable patient mortality, and distress among first responders. Amin’s project will evaluate the effectiveness of Artificial Intelligence (AI) to support decision-making for MCI triaging in simulated disasters. It will assess whether the use of an AI-powered digital platform 1)…
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