Background: Artificial intelligence (AI) has shown potential to improve diagnostics of various
diseases, especially for early detection of skin cancer. Studies have yet to investigate the …

Skin cancer is a growing public health problem. Early and accurate detection is important,
since prognosis and cost of treatment are highly dependent on cancer stage at detection …

Background: In the emerging era of digitalization and electronic health, skin cancer–related
apps represent useful tools to support dermatologic consultation and examination. Yet, little …

Background: There is growing interest in mobile health apps; however, not all of them have
been successful. The most common issue has been users' nonadoption or abandonment of …

Background Mobile technologies are increasingly being used to manage chronic diseases,
including cancer, with the promise of improving the efficiency and effectiveness of care …

Mobile health skin cancer risk assessment campaign using artificial intelligence on a
population-wide scale: a retrospective cohort analysis GLO: 3NZ/01nov21: jdv17442-fig …

Background Noncommunicable diseases (NCDs) are the leading global health problem in
this century and are the principal causes of death and health care spending worldwide …

Background As the use of smartphones continues to surge globally, mobile applications
(apps) have become a powerful tool for healthcare engagement. Prominent among these …

Background: In the last decade, the health care sector has been enriched by numerous
innovations such as apps and connected devices that assist users in weight reduction and …

Background: Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …