Assessing how seriously injured a person is, involves weighing up lots of different parameters fast. If healthcare professionals could get support making fast-paced, life-critical decisions from an AI tool, more lives could be saved. This is shown by research from Chalmers University of Technology in Sweden, along with the University of Gothenburg and the University of Borås.
“If severely injured people are transported directly to a university hospital, the chances of survival increase, as there are resources to take care of all types of injuries. Therefore, we need to be able to better say who is severely injured, and who is not, so that everyone receives the right care and that resources are used in the best way,” says Anna Bakidou, doctoral student in the research group Care@Distance – Remote and Prehospital Digital Health at the Department of Electrical Engineering at Chalmers University of Technology.