Artificial intelligence has a lot to offer to patients struggling with their mental health, but experts say we shouldn’t expect it to replace humans. Dr. Claire Gillan discusses technology and big data with Dana Najjar
Online test aims to predict best antidepressants for individual patients
For decades, the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM), with its universal set of standards, has been widely considered the best tool for classifying and diagnosing mental illness. But medical psychiatry may be overdue for a biological revolution. In this Aeon interview, t Claire Gillan describes breakthroughs in brain science that suggest mental illnesses should be reclassified and explains how brain-scanning technologies that investigate the underlying biology could lead to more effective mental health therapies.
Dr Claire Gillan, Assistant Professor, TCD, and MQ Postdoctoral Fellow, who is seeking GPs as research partners, talk to Valerie Ryan about creating an internetbased tool which could predict how effective antidepressants will be for different individuals