Background Mobile health (mHealth) apps show vast potential in supporting patients and
health care systems with the increasing prevalence and economic costs of …

Background Mobile health (mHealth) tools have emerged as a promising health care
technology that may contribute to cost savings, better access to care, and enhanced clinical …

The complex relationships between continuously monitored health signals and therapeutic
regimens can be modelled via machine learning. However, the clinical implementation of …

The use of artificial intelligence (AI) and big data in medicine has increased in recent years.
Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both …

Background The digitization of health care led to a steady increase in the adoption and use
of mobile health (mHealth) apps. Germany is the first country in the world to cover the costs …

Background: African Americans continue to have suboptimal cardiovascular health (CVH)
based on the American Heart Association Life's Simple 7 (LS7), 7 health-promoting …

Background Digital technologies are increasingly used in health research to collect real-
world data from wider populations. A new wave of digital health studies relies primarily on …

Background Chronic stress poses risks for physical and mental well-being. Stress
management interventions have been shown to be effective, and stress management apps …

Introduction Diabetes mellitus (DM) is a leading cause of morbidity and mortality worldwide.
At the same time, digital health technologies (DHTs), which include mobile health apps …

Background Digital health interventions have gained momentum to change health behaviors
such as physical activity (PA) and sedentary behavior (SB). Although these interventions …