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 …

Mobile health interventions are promising behavior change tools. However, there is a
concern that they may benefit some populations less than others and thus widen inequalities …

Obesity caused by a positive energy balance is a serious health burden. Studies have
shown that obesity is the major risk factor for many diseases like type 2 diabetes mellitus …

Background: Nutrition apps are effective in changing eating behavior and diet-related health
risk factors. However, while they may curb growing overweight and obesity rates …

The use of mobile applications for dietary purposes has dramatically increased along with
the consistent development of mobile technology. Assessing diet quality as a dietary pattern …

Background Despite an abundance of digital health interventions (DHIs) targeting the
prevention and management of noncommunicable diseases (NCDs), it is unclear what …

Background: Interventions to promote a healthy diet, physical activity, and weight
management during pregnancy are increasingly embracing digital technologies. Although …

Background Electronic (eHealth) and mobile (mHealth) health interventions can provide a
large coverage, and are promising tools to change health behavior (ie physical activity …

Background Smartphone apps have shown potential in enhancing weight management in
Western populations in the short to medium term. With a rapidly growing obesity burden in …

Background Despite an increasing number of smartphone applications (apps) addressing
weight management, data on the effect of app-based multimodal obesity treatment …