A Bayesian network fuses vision-based assessments into probabilistic triage decisions, raising overall accuracy from 14% to 53% and diagnostic coverage from 31% to 95% in simulated mass casualty scenarios.
Exploring the effective- ness of artificial intelligence, machine learning and deep learning in trauma triage: A systematic review and meta-analysis,
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A Bayesian Reasoning Framework for Robotic Systems in Autonomous Casualty Triage
A Bayesian network fuses vision-based assessments into probabilistic triage decisions, raising overall accuracy from 14% to 53% and diagnostic coverage from 31% to 95% in simulated mass casualty scenarios.