AI To Help in Treatment of Brain Injury
researchers at Helsinki University Hospital (US) have developed an artificial
intelligence (AI) based algorithm that could help doctors treat patients with
severe traumatic brain injury (TBI) in an intensive care unit. This is one of
the leading causes of mortality and morbidity in low and middle income
Patients suffering from severe TBI are unable to communicate because they are unconscious which makes it difficult for doctors to monitor the progress of treatment. Many of the devices used to monitor the patient in the ICU may yield several thousand data points that are impossible for a human brain to comprehend. The new AI based algorithm could predict the outcome of the individual patient and give objective data regarding the condition and prognosis of the patient and how it changes during treatment. The algorithm can predict the probability of a patient dying within 30-days with accuracy of 80-85%. Although this is a proof-of-concept and not yet ready to be implemented, it gives hope to many distressed patients and their family members across the globe. Two sets of algorithms have been created and the second one is more complex and includes data regarding the level of consciousness, measured by the widely used Glasgow Coma Scale score.