Artificial intelligence-based technologies are gradually being applied to psych-iatric
research and practice. This paper reviews the primary literature concerning artificial …

Background: Technological advancements, together with the decrease in both price and
size of a large variety of sensors, has expanded the role and capabilities of regular mobile …

Background Diabetes mellitus is a metabolic disorder that affects hundreds of millions of
people worldwide and causes several million deaths every year. Such a dramatic scenario …

Mobile sensing data processed using machine learning models can passively and remotely
assess mental health symptoms from the context of patients' lives. Prior work has trained …

Many studies have used Digital Phenotyping of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …

Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …

Background Chronic conditions are characterized by their long duration (≥ 1 year), need for
ongoing medical attention, and limitations in activities of daily living. These can often co …

Technology is ubiquitous in society and is now being extensively used in mental health
applications. Both assessment and treatment strategies are being developed and deployed …

Recent years have seen significant advances in the sensing capabilities of smartphones,
enabling them to collect rich contextual information such as location, device usage, and …

Mental health conditions can have significant negative impacts on wellbeing and healthcare
systems. Despite their high prevalence worldwide, there is still insufficient recognition and …