Background: Chronic wounds have been a great burden to patients and the health care
system. The popularity of the internet and smart devices, such as mobile phones and tablets …

Background Relapse and recurrence of depression are common, contributing to the overall
burden of depression globally. Accurate prediction of relapse or recurrence while patients …

Artificial intelligence (AI) is seen as a strategic lever to improve access, quality, and
efficiency of care and services and to build learning and value-based health systems. Many …

We are living in exciting times. The movement called Open Science is visible everywhere, all
the way from the use of materials, the design of new research, data collection, data analysis …

Background Early diagnosis of major depressive disorder (MDD) could enable timely
interventions and effective management which subsequently improve clinical outcomes …

The application of machine learning models to mental health-related text data offers a novel
approach to discern patterns and trends, aiding in the identification of subgroups and …

Mental Health has recently transformed into a domain that caused interest in almost every
field and has garnered attention in recent years, millions of people suffer due to mental …

The demand outstripping supply of mental health resources during the COVID-19 pandemic
presents opportunities for digital technology tools to fill this new gap and, in the process …

Background: Suicide poses a significant health burden worldwide. In many cases, people at
risk of suicide do not engage with their doctor or community due to concerns about …

Background: Digital phenotyping and machine learning are currently being used to augment
or even replace traditional analytic procedures in many domains, including health care …