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.
Benjamin Diaz started working for Debate Report in 2017. Ben grew up in a small town in northern Ontario. He studied chemistry in college, graduated, and married his wife a year later. Benhas been a proud Torontonian for the past 10 years. He covers politics and the economy. Previously he wrote for CTV News and the Huffington Post Canada.