Concept: Digital Mental Health Interventions
ESR-Coach: Leveraging Large Language Models for Training People to Provide Emotionally Supportive Responses
AI coaching system helps people learn to give better emotional support
Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
Predicting how AI chatbot designs will behave before deployment through neural feature analysis
Emotional regulation group showed improvements in mental health measures
Emotion regulation group intervention shows significant improvements in mental health outcomes
Application progress on large language models in the field of psychological care
How AI language models are reshaping mental health assessment, treatment, and education
Graph methods may improve major depressive disorder diagnosis
Using brain signals and neural networks to improve depression diagnosis
Reasoning-based LLMs may predict antidepressant response
AI predicts which depression patients will respond to antidepressants within 12 weeks
The implications of the COVID-19 pandemic for clinical mental health care
How the pandemic transformed the delivery of mental health services
PCORnet supported many studies and several meritorious ones
How a national research network enables faster, better health studies
A single-case design was feasible for testing advisor training
Testing individual-level methods to evaluate advisor training effectiveness
CBT outcomes linked more to sessions attended than session rate
More sessions help more than faster sessions in treating depression and anxiety
