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 …

The genetic dissection of major depressive disorder (MDD) ranks as one of the success
stories of psychiatric genetics, with genome-wide association studies (GWAS) identifying …

Psychiatry has always been characterized by a range of different models of and approaches
to mental disorder, which have sometimes brought progress in clinical practice, but have …

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 …

Background: Depression and anxiety are leading causes of disability worldwide but often
remain undetected and untreated. Smartphone and wearable devices may offer a unique …

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 …

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 past decade has seen a dramatic rise in consumer technologies able to monitor a
variety of cardiovascular parameters. Such devices initially recorded markers of exercise …

Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …

There has been increasing interest in the use of smartphone applications (apps) and other
consumer technology in mental health care for a number of years. However, the vision of …