Article Excerpt: In the past several years, researchers have started pioneering strategies that utilize personal data from phones, watches, and fitness trackers as well as health records and brain scans to more accurately select the most effective treatment for individuals—essentially bypassing the trial-and-error phase. This data can include metrics about everything from sleep and social connections to brain circuitry patterns and suicidality. Psychologists are also starting to explore how AI could use this personal data—shared only with the individual’s permission—to help people identify patterns that might otherwise go unnoticed. These discoveries can in turn help clinicians and individuals pinpoint the ideal evidence-based solution for an individual experiencing anything from panic attacks and insomnia to depression and anxiety.
Full Article: https://tinyurl.com/2s3m5rxd
Article Source: American Psychological Association