In surgery there is the concept of "golden hour": stabilizing an injured person in the shortest possible time can make the difference between life and death.
The purpose of TRACIR (this is the name of the system under study, commissioned by the American Defense to two universities) is to reduce the waiting time for treatment, and intervene immediately on an injured person to stabilize him for the time necessary before hospitalization: the final result will be a sort of "first aid robotic armour" in which to position the injured person.
Inside this armor, a series of sensors will constantly monitor the vital functions of the injured person and administer treatments by injecting medicines into his body. Machine learning will help TRACIR keep alive and stabilize the injured during transport to hospital or in conditions where evacuation is impossible.
“Each of the experts involved has a vision of what this system should look like,” explains Arthur Dubrowski, Robotics researcher at Carnegie Mellon, “but we all agree on the fact that it will have to be totally or almost totally autonomous, a sort of backpack containing armor to be worn or placed on the injured person. Any kind of support for this system must be able to be provided even by those without any medical knowledge."
It is a truly ambitious project, to be reached in small steps: the technology created must be able to perform injections or tracheotomies on its own: part of the necessary notions will come from an AI algorithm that will analyze the over 5000 war traumas recorded by the Pittsburgh School of Medicine.
Then, as often happens, the application designed for military use will also find application in civilian life: “TRACIR can be transported by drones to wilderness areas or rugged mountain areas, it will be useful on ships, in rural areas far from hospitals or during natural disasters,” says Dubrawski. “And one day, perhaps, it will be used by astronauts on Mars.”
