In the emergency room, AI can help doctors deal with severe trauma patients

Triaging patients upon arrival at the emergency room is a necessary step before they are taken to the hospital. This includes victims of serious trauma. This step directs cases based on the injuries and their severity: head trauma, hemorrhage, spinal cord injuries, etc. This is a crucial step because it determines the resources deployed upon the injured person's arrival at the emergency department. For example, if hemorrhage is suspected, the procedure is to prepare an operating room and an intervention team, and to deliver blood for a transfusion.

A bad referral can be fatal. " That's why it's important to try to anticipate patients' needs as best we can," explains Tobias Gauss, an anesthesiologist and resuscitator at Grenoble University Hospital . A multidisciplinary team, of which he is a member, wanted to test what artificial intelligence (AI) could bring to diagnosis in terms of accuracy and time savings. They developed Shockmatrix, an AI for triage assistance. Their tool, designed through a partnership with the Grenoble-based company Capgemini, uses machine learning technology: the algorithm was fed data from 50,000 hospital admissions, taken from the national registry of severe trauma patients. The AI is then supposed to be able to propose a diagnosis.

You have 70.7% of this article left to read. The rest is reserved for subscribers.