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 . The PHQ-9 was more effective than suicidal ideation screening in identifying patients who would attempt suicide ...

In a study in Social Science & Medicine—Mental Health, CUNY SPH doctoral alum Dana Watnick and team sought to explore local understandings of depression and mental distress among people living with ...

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.

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 ...

The scoring results of widely used depression-screening tools should be carefully adjusted to better detect the condition in teenagers with type 1 diabetes mellitus (T1D), according to a new study ...

INDIANAPOLIS – A study published in the February 2009 issue of the Journal of General Internal Medicine reports that a highly reliable depression screening tool known as the Patient Health ...

February 18, 2010 — Depression is prevalent in low-income, urban, postpartum mothers and can be accurately identified using depression screening tools, according to the results of a study reported ...

The scoring results of widely used depression-screening tools should be carefully adjusted to better detect the condition in teenagers with Type 1 diabetes mellitus (T1D), according to a new study ...

Suicide is the second leading cause of death among children aged 10 to 14 in the U.S. That’s evidence of a systemic failure in identifying and addressing mental health concerns in young people.

Depression screening is common among Medicare members, but anxiety, sleep, pain, and functional distress often go ...

Depression and anxiety have been well documented in people with multiple sclerosis (MS), but often are undiagnosed or untreated. A machine learning model may help by analyzing routinely collected ...