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 …

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 …

Over the past decade, AI has been used to aid or even replace humans in many
professional fields. There are now robots delivering groceries or working in assembling lines …

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 …

Background Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the
severity of symptomatic experiences and functional impairments vacillate over the course of …

Digital phenoty** has potential for use as an objective and ecologically valid form of
symptom assessment in clinical trials for schizophrenia. However, there are critical …

This study examines related literature to propose a model based on artificial intelligence
(AI), that can assist in the diagnosis of depressive disorder. Depressive disorder can be …

Artificial Intelligence of Things (AIoT)-based smart healthcare system that utilize smart
devices can provide personalized, proactive care to patients, reducing the reliance on …

Background: Various types of computational technologies can be used to access, store and
wirelessly share private and sensitive user-related information. The 'big data'provided by …

Severe mental illness (SMI) is associated with poor daily functioning; however available
interventions currently under-deliver on their recovery prospect. Mobile digital health …