https://www.sciencedaily.com/releases/2022/04/220426101128.htm

In a study reported today in the journal Radiology, the team showed that their advanced machine-learning algorithm can analyze brain scans and relevant clinical data from TBI patients to quickly and accurately predict survival and recovery at six-months after the injury.

"Every day, in hospitals across the United States, care is withdrawn from patients who would have otherwise returned to independent living," said co-senior author David Okonkwo, M.D., Ph.D., professor of neurological surgery at Pitt and UPMC. "The majority of people who survive a critical period in an acute care setting make a meaningful recovery -- which further underscores the need to identify patients who are more likely to recover."