Designing human-centered AI for mental health: Developing clinically relevant applications for online CBT treatment

A Thieme, M Hanratty, M Lyons, J Palacios… - ACM Transactions on …, 2023 - dl.acm.org
Recent advances in AI and machine learning (ML) promise significant transformations in the
future delivery of healthcare. Despite a surge in research and development, few works have …

A Generic Review of Integrating Artificial Intelligence in Cognitive Behavioral Therapy

M Jiang, Q Zhao, J Li, F Wang, T He, X Cheng… - arXiv preprint arXiv …, 2024 - arxiv.org
Cognitive Behavioral Therapy (CBT) is a well-established intervention for mitigating
psychological issues by modifying maladaptive cognitive and behavioral patterns. However …

Artificial intelligence and psychotherapy: A counterpoint

D Richards - Counselling and Psychotherapy Research, 2024 - Wiley Online Library
Psychotherapy practice is a human endeavour. Research on the specific and non‐specific
factors of treatment has helped crystallise its relevance and clinical impact. The challenges …

Incorporating a deep‐learning client outcome prediction tool as feedback in supported internet‐delivered cognitive behavioural therapy for depression and anxiety: A …

GC Hisler, KS Young, DC Cumpanasoiu… - Counselling and …, 2024 - Wiley Online Library
Introduction Machine learning techniques have been leveraged to predict client
psychological treatment outcomes. Few studies, however, have tested whether providing …

A Scalable System Architecture for Composition and Deployment of Machine Learning Models in Cognitive Behavioral Therapy

F Schmidt, MG Kurzawski… - … on Digital Health …, 2024 - ieeexplore.ieee.org
Machine learning (ML) models are a valuable tool for decision support in internet-delivered
cognitive behavioral therapy (iCBT). However, while the literature extensively covers model …

[PDF][PDF] Predicting Therapy Outcomes for Stress-Related Disorders using Machine Learning: A Study Protocol

LF Föyen, V Sennerstam, E Kontio, O Flygare… - researchgate.net
Background: Stress-related disorders, such as adjustment disorder and exhaustion disorder,
are prevalent and associated with significant personal suffering and societal costs. While …