Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global
pandemic, can reform the approach to diagnosis and management of this chronic condition …

Background: Noncommunicable diseases (NCDs) are associated with the burden of
premature deaths and huge medical costs globally. There is an increasing number of …

The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in
the study and development of eHealth systems. Although it is almost impossible to cover all …

Elderly diabetic patients in developed countries have been widely using digital health
wearables for many years to manage their diabetes-related health data accurately. To …

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 …

Augmented reality (AR) is an emerging technology with many applications in education.
Web-based augmented reality (WebAR) provides a cross-platform approach to deliver …

Background: Intervention based on family support and risk perception can enhance type 2
diabetes mellitus (T2DM) patients' self-care activities. In addition, eHealth education is …

From a biological view, most of the processes involved in insulin resistance, which drives the
pathobiology of type 2 diabetes, are reversible. This theoretically makes the disease …

Purpose The resource crisis in healthcare can be alleviated by engaging external
stakeholders and resources in healthcare delivery. The authors use value and open …

Background Resource-poor individuals, such as those with a low income, are
disproportionately affected by diabetes and unhealthy eating patterns that contribute to poor …