Better Diagnosis of Schizophrenia with Artificial Intelligence

IBM scientists published a study in collaboration with the University of Alberta on the use of artificial intelligence and algorithms to better detect cases of schizophrenia, a rare disease still diagnosed from subjective factors, According to experts. A recent study published in the scientific journal Nature (in English) intends to push the limits of artificial intelligence to detect cases of schizophrenia. The researchers were able to detect 74% of the patients participating in the study suffering from this disease. A similar proportion to doctors’ diagnoses at present. According to the authors, doctors currently rely on subjective factors to perform their diagnosis, in contrast to this approach of computer-assisted psychiatry which offers tools to objectively evaluate patients. “Right now, we do not know what’s wrong with the brain of a schizophrenic patient,” says Mina Gheiratmand of the University of Alberta and co-author of the study. Scientists analyzed the brain activity of the participants’ brains using magnetic resonance imaging to “determine the differences between patients [and other study participants],” she continues. The study also determined the degree of severity of schizophrenia-specific symptoms in affected patients. Share this:

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