Concept: Mental Health via Writing
Predictive modeling identified later emergent depression risk
Machine learning identifies early warning signs for depression in adulthood
A three-layer model is proposed for post-COVID suicide-risk detection
A structured approach to identifying and supporting hospitalized patients at suicide risk
Application progress on large language models in the field of psychological care
How AI language models are reshaping mental health assessment, treatment, and education
Russian cognitive distortions form a hierarchical co-occurrence network
How thinking biases cluster together in Russian social media conversations
Graph methods may improve major depressive disorder diagnosis
Using brain signals and neural networks to improve depression diagnosis
Embedding Mental, Behavioral Health and Social Emotional Literacy Services into an After Care Program
Using arts-based approaches to build emotional awareness in children
Reasoning-based LLMs may predict antidepressant response
AI predicts which depression patients will respond to antidepressants within 12 weeks
