The high global prevalence of depression, together with the recent acceleration of remote
care owing to the COVID-19 pandemic, has prompted increased interest in the efficacy of …

High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

Importance Personalized treatment choices would increase the effectiveness of internet-
based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in …

Background Although there is evidence for the efficacy of internet-based cognitive
behavioral therapy (iCBT), the generalizability of results to routine care is limited. Objective …

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 …

Background A 2010 meta-analysis of internet-delivered CBT (iCBT) RCTs argued 'computer
therapy for the anxiety and depressive disorders was effective, acceptable and practical …

Introduction Personalization is a much-discussed approach to improve adherence and
outcomes for Digital Mental Health interventions (DMHIs). Yet, major questions remain open …

Providing accessible and effective healthcare solutions for people living in low-and middle-
income countries, migrants, and indigenous people is central to reduce the global mental …

Background Mental health problems are highly prevalent among college students. Most
students with poor mental health, however, do not receive professional help. Internet-based …

Utilization of internet-delivered cognitive behavioural therapy (iCBT) for treating depression
and anxiety disorders in stepped-care models, such as the UK's Improving Access to …