Teacher Insights: How Digital Technology Helps in Growth and Access to Quality Education  |  Management lessons: How Brands Use CARE to Stay on Top in Instagram  |  Hobbies &Trends: At Full Throttle  |  Finance: Bitcoin Mobile Apps Vulnerable to Security Threats: Guan-Hua Tu, MSU  |  International Edu News: Use plants' ability to tell the time to make food production more sustainable  |  International Edu News: Scientists develop new class of cancer drug with potential to treat leukaemia  |  International Edu News: Loan applications processed around midday more likely to be rejected  |  International Edu News: Researchers find climate change impacts plankton – a key marine food source  |  International Edu News: Nature must be a partner, not just a provider of services – Oxford report  |  National Edu News: Approval to MoU between India and UK on Global Innovation Partnership  |  National Edu News: Transfer of CSIR-CMERI technologies to three MSMEs  |  Parent Interventions: Child Learning Programs: How to Find the Right One for You  |  Rajagiri Round Table: Fitness Challenge for the Nation  |  Education Information: West Bengal Scholarship 2021  |  Education Information: What is PMEGP Scheme? How can you get it?  |  
December 27, 2019 Friday 10:30:27 AM IST

AI To Help in Treatment of Brain Injury

Parent Interventions

The 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 countries.

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.