Using data from MRI brain scan images, machine learning was 85% accurate at providing a diagnosis of psychiatric disorders that matched psychiatrists' assessments. The algorithm could also distinguish between patients with ASD, schizophrenia, risk factors for psychosis, and those with no history of mental health problems.
