28th January 2021 9:28 am 28th January 2021 9:28 am University of Alberta researchers have developed an AI tool to predict schizophrenia by analysing brain scans, aiming for earlier diagnosis and treatment. Sunil Kalmady Vasu (centre) led a recent study with fellow U of A researchers including Russ Greiner (left), Andrew Greenshaw (right) and Serdar Dursun (not pictured), showing that a machine learning tool could help predict early symptoms of schizophrenia in siblings and children of patients In a recently published study, researchers explained how their tool was used to analyse functional magnetic resonance images of 57 healthy first-degree relatives (siblings or children) of schizophrenia patients. According to the team, the tool accurately identified the 14 individuals who scored highest on a self-reported schizotypal personality trait scale.