HUS Rahul Raj awarded for AI-based algorithm capturing the changes in the prognosis of TBI patients

Treating TBI patients in the intensive care unit (ICU) is challenging for main three reasons, says Rahul Raj.

“First of all, the patient is usually unconscious. Second, there is no objective way to measure the severity of the brain injury. Third, we don’t objectively know how different treatments impact the prognosis of the patients.”

The recognised research paper shows a promising start for future use of machine-learning based solutions in intensive care. It is the world’s first algorithm based on machine-learning, that can help clinicians to quantify the dynamic prognosis of patients with TBI. In practice, this means that there will be a scale of 0 to 100 to describe the probability of death caused by the brain injury.