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

Artificial intelligence (AI) based algorithms for classification of suspicious skin lesions have
been implemented in mobile phone apps (mHealth), but their effect on healthcare systems is …

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

Background Mobile health (mHealth) applications (apps) incorporating artificial intelligence
for skin cancer screening are increasingly reimbursed by health insurers. However, an in …

Purpose This study aimed to analyze the utilization of cancer screenings in Germany before
and during the COVID-19 pandemic in 2020. The objective of the analysis was to identify the …

The use of artificial intelligence (AI) in dermatology is an emerging area of interest with
several applications highlighted in the special topic, including the differentiation of benign …

The unprecedented onset of the COVID-19 crisis poses a significant challenge to all fields of
medicine, including dermatology. Since the start of the coronavirus outbreak, a stark decline …

Background and aim Skin cancer is a major public health issue. While self-examinations
and professional screenings are recommended, they are rarely performed. Mobile health …

Introduction and purpose: Modern medical knowledge has grown to a vastness
incomprehensible for a single health professional to learn and accommodate. The usage of …