Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …

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 …

The paper reviews the entire spectrum of Artificial Intelligence (AI) in mental health and its
positive role in mental health. AI has a huge number of promises to offer mental health care …

The psychological treatment of mental health problems is beginning to undergo a sea-
change driven by the widespread availability of digital technology. In this paper we provide …

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 …

There are rising rates of depression on college campuses. Mental health services on our
campuses are working at full stretch. In response researchers have proposed using mobile …

Abstract Machine and deep learning methods, today's core of artificial intelligence, have
been applied with increasing success and impact in many commercial and research …

Background Artificial intelligence (AI) has made significant advances in recent years, and its
applications in psychiatry have gained increasing attention. The use of AI in psychiatry offers …

Highlights•Smartphone Sensing Methods (SSMs) permit continuous and real-time
behavioral observation in the context of people's daily lives.•SSMs provide objective …

Early detection of mental health changes in individuals with serious mental illness is critical
for effective intervention. CrossCheck is the first step towards the passive monitoring of …