IBM researchers use AI to predict risk of developing psychosis

Building off of work published in 2015, the team used AI to analyze the speech patterns of 59 individuals who had participated in a separate study. Transcripts of an interview the participants took part in were broken down into parts of speech and were scored on how coherent the sentences were. Then, the machine learning model determined, based on those speech patterns, who was at risk of developing psychosis and who wasn't. Of those participants, 19 developed a psychotic disorder within two years while 40 did not and the model was able to predict that with 83 percent accuracy. It was also able to differentiate speech patterns of patients who had recently developed psychosis from those of healthy patients with 72 percent accuracy.