DARPA is seeking teams to participate in the Triage Challenge.
Running over 3 years, the Triage Challenge will use a series of challenge events to spur development of novel physiological features for medical triage. The DARPA Triage Challenge aims to drive breakthrough innovations in identification of “signatures” of injury that will help medical responders perform scalable, timely, and accurate triage. Of particular interest are mass casualty incidents (MCIs), in both civilian and military settings, when medical resources are limited relative to the need.
Three tracks are open to self-funded teams
- Systems Competition – to detect and identify physiological signatures of injury derived from data captured by stand-off sensors onboard autonomous systems. This will enable early prioritization of casualties in primary triage, allowing medical care professionals to quickly focus on the most urgent casualties.Teams will develop algorithms that detect those signatures in real-time from stand-off sensor data to provide decision support appropriate for austere and complex pre-hospital settings. Teams will use their stand-off sensors, robotic mobility platforms (eg UAVs, UGVs), and algorithms to autonomously process sensor data and provide real-time casualty identification and injury assessment. SKILLS REQUIRED – Autonomous systems, sensors, UI development, machine learning, medical knowledge
- Virtual Competition – mirrors the technical challenges of primary triage as the System Competition. The virtual world allows simulation of scenarios and medical conditions difficult to replicate in a physical simulation. Teams will navigate a virtual environment to perform stand-off assessment of casualties in mass casualty incidents. SKILLS REQUIRED – Simulation environments, autonomous navigation, sensors, machine learning, medical knowledge
- Data Competition – to identify physiological signatures of injury derived from data captured by non-invasive sensors (contact-based or stand-off) to enable anticipatory decisions and prioritization for medical evacuation and care during secondary triage. Performers will develop algorithms that detect signatures in these data streams to provide decision support appropriate for austere and complex pre-hospital settings. SKILLS REQUIRED – Data science, machine learning, medical knowledge
Team qualification closes 27 November 2023.