Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.

A machine learning model combining acoustic speech features with PHQ-9 responses improved depression screening accuracy in adolescents.

(GeorgeRudy/Canva) A packet of snacks. A sugary drink. A meal ready in minutes. Ultra-processed foods make life easier in the kitchen. Researchers are investigating whether eating fewer of them could ...

Awareness opened the door to mental health care. Measurement-based care is what has to walk through it. The question ...

Serena B. Gumusoglu, PhD, MSc, and Hanna Stevens, MD, PhD, comment on neurologic follow-up practices for patients with ...

A multicenter study of 167 lung cancer patients found that persistent emotional distress across neoadjuvant therapy and ...

I recently returned from the Behavioral Health Tech conference in Nashville. Here were the major takeaways from my time there ...

Young adults with depressive symptoms might benefit from learning how to salsa dance. A new trial published in Psychological Medicine indicates that an eight-week salsa dance program reduced ...

As drinking rates plummet, clinicians are missing an opportunity to engage with healthy patients cutting back on alcohol.

SRINAGAR: A culturally tailored mental-health intervention being developed for young people in Kashmir could eventually be ...

He began receiving psychiatric treatment only after being taken to an emergency room following a suicide attempt. His symptoms improved after taking a leave of absence from work and undergoing ...

The researchers also observed that depression scores had improved during the usual-diet period compared with the beginning of ...