Mina Gheiratmand, Serdar Dursun, and University of Alberta colleagues used IBM AI tools to try to identify schizophrenic traits based on a person’s brain blood flow.
95 participant fMRI images of schizophrenia-diagnosed and healthy patient brains were analyzed. The researchers claimed to accurately diagnose patients, based on blood flow, 74% of the time. They also claimed to be able to measure the severity of symptoms.
A much larger sample size will be required to determine the validity of this approach to understanding a disease that so little is known about. ApplySci applauds this perhaps promising attempt.
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