Latest AI and machine learning research in depression for healthcare professionals.
The amygdala is a central hub for emotional processing, whose interactions with large-scale brain ne...
Background: Suicide-related media is known to influence suicide rates. Large language models (LLMs),...
Automatic depression detection with deep learning has shown promise, but often suffers from limited ...
Digital doppelgangers are individualized, continuously updated digital representations of a person c...
There is an increasing call for individualized treatment rules, which leverage individual patient ch...
BACKGROUND: SMS text message reminders have been used to promote many health behaviors, such as impr...
Major depressive disorder (MDD) is a risk factor for neurodegeneration, yet its heterogeneity makes ...
Recent reports have described suicides temporally associated with artificial intelligence (AI)-media...
Mental health issues, especially depressive symptoms, among young adults represent a public health c...
BACKGROUND: Cervical cancer (CC) ranks among the most prevalent malignant neoplasms affecting women ...
BACKGROUND: Depression in older adults is a multifactorial condition influenced by demographic, beha...
The rapid growth of tele-counseling and the use of lay counselors in high-volume, low-resource menta...
OBJECTIVE: We aimed to use machine learning (ML) models to investigate the impact of clinical, socia...
BACKGROUND: Most applications for depression lack comprehensive theoretical integration and qualitat...
BACKGROUND AND PURPOSE: Microglia are central regulators of neuroinflammation in depression. Drivers...
BACKGROUND: Depressive symptoms are common yet often underrecognized in routine care, underscoring t...
This study integrates causal inference, graph analysis, temporal complexity measures, and machine le...
Comorbid anxiety in adolescents with major depressive disorder (adMDD) is linked to higher suicide r...
Psychiatric, neurodevelopmental, and neurodegenerative disorders, including Alzheimer's disease (AD)...
Depression is the most common psychiatric comorbidity among people living with HIV and is associated...
Depression involves dysregulation across large-scale neural networks, yet substantial heterogeneity ...