As we face staffing shortages and the limits of human analysis, AI is expanding our approach to mentalhealth.
Woebot is primarily intended to be there for users when a therapist isn’t, Darcy notes, or as a gateway to therapy, and can reinforce lessons from in-person sessions. It was programmed to incorporate aspects of established practices like cognitive behavioral therapy. When patients are struggling between visits, it can be challenging to recall the skills learned with a professional, Darcy says.
Some scientists believe data holds the key to addressing the current mental health crisis. For example, doctors struggle to reliably diagnose and effectively treat conditions such as schizophrenia, depression and ADHD because they tend to have. “Several complex mental disorders look alike in terms of their symptoms. They’re quite overlapping,” says Sunil Vasu Kalmady, a machine-learning researcher at Canada’s University of Alberta.
“It would be nice, instead of saying someone’s depressed, [to] instead say, ‘This is a person who could benefit from an SSRI,’ ” Greiner says. “That would be a place where machinery could perhaps help — to identify a treatment.”only have a slight advantage Our cellphones could also provide an unprecedented look into the psyche, according to Nicholas Allen, director of the Center for Digital Mental Health at the University of Oregon. His lab created a phone app that monitors details like duration of use, physical activity and text frequency. It’s made to study teenagers and better understand indicators of their wellbeing, and isn’t necessarily meant for public use.
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