You are here ITU > Home > ITU-T > Focus Groups > Artificial Intelligence for Health > TG Derm: Topic Group on "Dermatology"
Share
This FG-AI4H Topic Group is dedicated to using artificial intelligence for dermatology.
One in every three cancers diagnosed is a skin cancer, and every year approximately 3 million new cases of skin cancer is detected worldwide, more than breast cancer, prostate cancer, lung cancer and colon cancer combined. According to Skin Cancer Foundation Statistics, one in every five Americans will develop skin cancer in their lifetime. Although Malignant Melanoma (MM) accounts only for a small percentage of this type of cancer, it is responsible for the most skin cancer related deaths. Early diagnosis of MM is, therefore, extremely important considering the high success rates of recovery if the malignancy is detected during the early stages of its development. Therefore, awareness activities and screening procedures are of high importance.
Several recent studies have been focused in evaluating the usage of mobile teledermatology for skin cancer screening. High management concordance of 81% between in-person and teledermatology evaluations have been previously reported, with similar results being obtained by a recent study in a low prevalence population (78% concordance). This last study also explored the impact of adding a dermoscopic image to conventional images, being reported only a slight impact in terms of concordance (85% vs 78%), but still important when the goal is to maximize the number of correctly ruled-out cases for further follow-up (82% vs 74%). Still in terms of concordance, these studies are in line with previous research demonstrating high cancer detection rates of mobile teledermatology in high-prevalence settings.
