Background Skin cancer is one of the most common forms worldwide, with a significant
increase in incidence over the last few decades. Early and accurate detection of this type of …

Non-melanoma skin cancers (NMSC) cancers are among the top five most common cancers
globally. NMSC is an area with great potential for novel application of diagnostic tools …

Introduction Deep Ensemble for Recognition of Malignancy (DERM) is an artificial
intelligence as a medical device (AIaMD) tool for skin lesion assessment. Methods We report …

Introduction An artificial intelligence as a medical device (AIaMD), built on convolutional
neural networks, has demonstrated high sensitivity for melanoma. To be of clinical value, it …

Background Artificial intelligence (AI) tools have the potential to revolutionize many facets of
medicine and medical sciences research. Numerous AI tools have been developed and are …

Simple Summary Early detection of malignant melanoma (MM) has the potential to
significantly reduce morbidity and mortality as the thickness of the lesion is closely …

Skin cancer is the most common type of cancer worldwide and poses a significant public
health challenge. Its visible nature often leads individuals to seek medical attention …

In the rapidly advancing field of artificial intelligence, machine perception is becoming
paramount to achieving increased performance. Image classification systems are becoming …

Recent advancements in artificial intelligence (AI) have fueled an interest in the utility of AI
models in medicine (1). These models range from computer vision models that can interpret …

Background More rapid and efficient diagnosis of suspected skin cancers has been a target
for improvement in the NHS for several years. DERM (Deep Ensemble for the Recognition of …