As the COVID‐19 pandemic has largely increased the utilization of telehealth, mobile mental
health technologies–such as smartphone apps, virtual reality, chatbots, and social media …

Background Interest in the application of machine learning (ML) to the design, conduct, and
analysis of clinical trials has grown, but the evidence base for such applications has not …

Cognitive impairment in schizophrenia involves a broad array of nonsocial and social
cognitive domains. It is a core feature of the illness, and one with substantial implications for …

Psychiatric disorders are now responsible for the largest proportion of the global burden of
disease, and even more challenges have been seen during the COVID-19 pandemic …

With the advent of digital approaches to mental health, modern artificial intelligence (AI), and
machine learning in particular, is being used in the development of prediction, detection and …

The broad adoption and use of smartphones has led to fundamentally new opportunities for
capturing social, behavioral, and cognitive phenotypes in free-living settings, outside of …

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 …

Background: Digital mental health interventions offer unique advantages, and research
indicates that these interventions are effective for a range of mental health concerns …

Background The potential for machine learning to disrupt the medical profession is the
subject of ongoing debate within biomedical informatics and related fields. Objective This …

As the COVID-19 global pandemic rapidly expands, the potential of digital health for mental
health has become urgently apparent. The surge in interest and use of digital health to meet …