Focal Interest
Focal Interest

Digital Mental Health Interventions

External reference: https://openalex.org/T11519

  1. ESR-Coach: Leveraging Large Language Models for Training People to Provide Emotionally Supportive Responses
    LLM-based coaching system for training emotionally supportive communication through AI-generated scenarios, exemplary responses, and assessment feedback.
  2. Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
    Neural transparency interface for LLM chatbot design enabling users to anticipate model behaviors through mechanistic interpretability visualization of behavioral trait vectors.
  3. Emotional regulation group showed improvements in mental health measures
    Evaluation of the emotional resources group, a brief emotion regulation intervention in NHS Scotland secondary care. Results show significant improvements in emotional regulation, self-efficacy.
  4. Graph methods may improve major depressive disorder diagnosis
    Graph neural networks with augmented brain signals improve MDD diagnosis through gender-specific and stage-wise analysis, enabling personalized therapeutic strategies.
  5. Reasoning-based LLMs may predict antidepressant response
    Study evaluates reasoning-based large language models for predicting 12-week remission in depressive disorder patients undergoing antidepressant monotherapy.
  6. The implications of the COVID-19 pandemic for clinical mental health care
    Commission-led examination of COVID-19 pandemic effects on clinical mental health service delivery, evidence gaps, and vulnerable population impacts, with research priorities.
  7. PCORnet supported many studies and several meritorious ones
    Analysis of PCORnet infrastructure supporting patient-centered research over 10 years, encompassing 300+ studies and demonstrating capacity for diverse study designs and therapeutic areas.
  8. A single-case design was feasible for testing advisor training
    Study demonstrates feasibility of single-case experimental designs for evaluating agricultural advisor training in digital mental health interventions for farmers.
  9. CBT outcomes linked more to sessions attended than session rate
    Observational primary-care CBT analysis: higher baseline severity linked to greater absolute symptom reduction; total session count, not attendance rate, predicts outcomes; waiting time showed no.