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 …

Abstract Purpose of Review Artificial intelligence (AI) technology holds both great promise to
transform mental healthcare and potential pitfalls. This article provides an overview of AI and …

BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …

Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to
significant advances in medical science and technology, medicine as well as increased …

Background The development of mobile computing technology has enabled the delivery of
psychological interventions while people go about their everyday lives. The original visions …

The use of digital tools to measure physiological and behavioural variables of potential
relevance to mental health is a growing field sitting at the intersection between computer …

The use of data generated passively by personal electronic devices, such as smartphones,
to measure human function in health and disease has generated significant research …

Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …

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

Objective To review published empirical literature on the use of smartphone-based passive
sensing for health and wellbeing. Material and methods A systematic review of the English …