Artificial Intelligence Shows Promise in Detection of Anxiety Disorders, Depression

Artificial intelligence (AI) tools show promise in overcoming the limitations of traditional anxiety disorders and/or depression, according to the results of a study published in Springer. Investigators established that audio and/or facial video features have been most analyzed, followed by electroencephalography (EEG) signals, to detect anxiety disorders and/or depression. Traditional screening tools include the Columbia Suicide Screen, Risk of Suicide Questionnaire, Suicidal Ideation Questionnaire, and more. These screening programs are often used in schools to assess suicide risk, according to investigators. However, these traditional screening tools have limitations, such as a high prevalence of false positives, a lack of resources because of funding for the assessment programs in schools, others demands on educators and school counselors.