In the Media
Will machines take over mental health care?
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
SCIENCELINE
Researchers hope to improve the current trial and error approach by devising algorithm based on a person’s cognitive characteristics
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.
Psychiatry is due for a revolution in diagnosis and treatment through brain science
Considering psychological traits as existing on a spectrum could advance research into the causes of mental health conditions and perhaps ultimately diagnosis and treatment.
Taking mental health research to a new dimension
But I am also certain they made my mental illness much worse too. It has taken just under two years from my first very dark thoughts to me feeling sane and — largely — back in control of my mind. That’s not merely because it takes time to heal, but because it took at least six months for the doctors to work out what pills to give me. Isabel Hardman discusses her own journey with mental health in terms of the effect our study could have on prediction and treatment
Antidepressants saved my life, I am sure of that
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
Online tool helps predict
effects of antidepressants
Psychiatrists are looking to sophisticated computational tools that may be able to disentangle the intricacies of mental illness and improve treatment decisions