Advances in computer science and data-analytic methods are driving a new era in mental
health research and application. Artificial intelligence (AI) technologies hold the potential to …

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 …

Introduction Increasing demand for mental health services and the expanding capabilities of
artificial intelligence (AI) in recent years has driven the development of digital mental health …

Background Mobile health (mHealth) apps show vast potential in supporting patients and
health care systems with the increasing prevalence and economic costs of …

Acceptability is a core concept in digital health. Available frameworks have not clearly
articulated why and how researchers, practitioners and policy makers may wish to study the …

Objectives: Although the efficacy of smartphone-delivered interventions for mental health
problems is emerging, randomized controlled trials (RCTs) of smartphone interventions are …

Digital mental health interventions (DMHIs) present a promising way to address gaps in
mental health service provision. However, the relationship between user engagement and …

Background Digital self-help interventions (including online or computerized programs and
apps) for common mental health issues have been shown to be appealing, engaging, and …

Background: Among the general public, there appears to be a growing need and interest in
receiving digital mental health and well-being support. In response to this, mental health …

Abstract “Engagement” with digital behaviour change interventions (DBCIs) is considered
important for their effectiveness. Evaluating engagement is therefore a priority; however, a …