Please provide your email address to receive an email when new articles are posted on . The PHQ-9 was more effective than suicidal ideation screening in identifying patients who would attempt suicide ...
In Canada and the U.S., doctors are increasingly being encouraged to try to identify depression in children and adolescents - even if they do not have obvious indications of the disease. In order to ...
Please provide your email address to receive an email when new articles are posted on . A question set feasibly administrable in the ED predicted 3-month PTSD or major depressive episode among ...
As a Joint Commission-accredited facility, Coffeyville Regional Medical Center in Coffeyville, Kansas, recognizes the importance of assessing and identifying patients at risk for suicide. While ...
In Canada and the U.S., doctors are increasingly being encouraged to try to identify depression in children and adolescents - even if they do not have obvious indications of the disease. In order to ...
Text-based AI depression screening may be easier and quicker than questionnaires. A new study highlights how artificial intelligence could improve mental health monitoring among older adults.
A recent analysis found limited research evaluating depression screening tools in patients with kidney failure. Many studies were small in size and had other shortcomings. Washington, DC (November 17, ...
Background and goal: Depression impacts an estimated 18 million Americans each year, yet depression screening rarely occurs in the outpatient setting. This study evaluated an AI-based machine learning ...
For over a century, standardized rating scales have been the dominant method of psychological assessment, but they often ...
Cultural pressure, disconnection, and overlooked behaviors mask emotional distress in men. Learn the seven overlooked ...
Major depression is relatively common among patients with epilepsy, but there is currently no easy-to-use screening tool that can pick up symptoms of major depression while reliably excluding other ...
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