The US Department of Defense has awarded four-year contracts totalling $7.2m to the University of Pittsburgh School of Medicine and Carnegie Mellon University to create an autonomous trauma care system.

This system would fit in a backpack and can be used in treating and stabilising soldiers injured in remote locations.

Discover B2B Marketing That Performs

Combine business intelligence and editorial excellence to reach engaged professionals across 36 leading media platforms.

Find out more

The aim of ‘TRAuma Care In a Rucksack: TRACIR’ project is to develop artificial intelligence (AI) technologies to enable medical interventions that go beyond the ‘golden hour’ for treating combat casualties.

A team of Pitt researchers with clinicians from emergency medicine, surgery, critical care and pulmonary fields will offer real-world trauma data and medical algorithms.

CMU roboticists and computer scientists will incorporate the data for the creation of a ‘hard and soft robotic suit’.

An injured person can be placed in this suit, which will be fitted with monitors to help assess the injury. Alongside this, AI algorithms will offer guidance in providing the right critical care interventions and robotically apply stabilising treatments such as intravenous fluids and medications.

GlobalData Strategic Intelligence

US Tariffs are shifting - will you react or anticipate?

Don’t let policy changes catch you off guard. Stay proactive with real-time data and expert analysis.

By GlobalData

Pitt’s Center for Military Medicine Research director and retired US Army colonel Ron Poropatich is an overall principal investigator on the $3.71m contract, while Pitt’s Department of Critical Care Medicine professor Michael R Pinsky is the scientific principal investigator.

The principal investigator on the $3.5m CMU contract is Artur Dubrawski, a research professor at CMU’s Robotics Institute.

Poropatich said: “Battlefields are becoming increasingly remote, making medical evacuations more difficult. By fusing data captured from multiple sensors and applying machine learning, we are developing more predictive cardio-pulmonary resuscitation opportunities, which hopefully will conserve an injured soldier’s strength.

“Our goal with TRACIR is to treat and stabilise soldiers in the battlefield, even during periods of prolonged field care, when evacuation is not possible.”

“Our goal with TRACIR is to treat and stabilise soldiers in the battlefield.”

Initially, the research will take ‘a series of baby steps’ to demonstrate the practicality of individual components the system will eventually require.

Dubrawski added: “Everybody has a slightly different vision of what the final system will look like.

“But we see this as being an autonomous or nearly autonomous system, a backpack containing an inflatable vest or perhaps a collapsed stretcher that you might toss toward a wounded soldier.

Army Technology Excellence Awards - Nominations Closed

Nominations are now closed for the Army Technology Excellence Awards. A big thanks to all the organisations that entered – your response has been outstanding, showcasing exceptional innovation, leadership, and impact across the defence sector.

Excellence in Action
SignalGeneriX has won the Autonomous Technology Innovation Award for its LOTUS AI Mission Computer -a compact, rugged edge AI platform delivering up to 100 TOPS for ISR, EW, robotics and autonomous systems. Discover how LOTUS is redefining real-time decision-making and autonomy across demanding defence missions.

Discover the Impact