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: mHealth, which encompasses mobile health technologies and interventions, is
rapidly evolving in various medical specialties, and its impact is evident in oncology. In …

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

Smartphone applications (apps) are available to consumers for skin cancer prevention and
early detection. This study aims to review changes over time in the skin cancer apps …

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: Skin cancer is the most prevalent and most preventable cancer in Australia.
Despite Australia's long-running public health campaigns, young Australian adults continue …

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 …

Background and objectives The incidence of skin cancer is rising worldwide and there is
medical need to optimize its early detection. This study was conducted to determine the …

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

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