Diagnostic signature uses artificial intelligence to detect long-term concussion
July 12, 2017 Lawyers representing both sides in concussion lawsuits against sports leagues may eventually have a new tool at their disposal: a diagnostic signature that uses artificial intelligence to detect brain trauma years after it has occurred. While the short-term effects of head trauma can be devastating, the long-term effects can be equally hard for patients. The symptoms may linger years after the concussion happened. The problem is it is often hard to say whether their symptoms are being caused by a concussion or other factors like another neurological condition or the normal aging process. The only way to prove the presence of brain damage caused by concussion years after it occurred was through post-mortem examination. A means of diagnosing concussion in living patients, however, remained elusive. A research team from Université de Montreal, The Montreal Neurological Institute and Hospital (The Neuro), and the Ludmer Center for NeuroInformatics recruited former university athletes between the ages of 51 and 75 who played contact sports such as ice hockey and American football. From that group, the researchers formed a cohort of 15 athletes who reported being concussed in their athletic careers, and a control group of 15 athletes who had not…
Link to Full Article: Diagnostic signature uses artificial intelligence to detect long-term concussion
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