Maria Del Pilar Bonilla Tobar, Sven Clemann, Ralf Hagens, Sonja Pagel-Wolff, Stefan Hoppe, Peter Behm, Felicia Engelhard, Maria Langhals, Stefan Gallinat, Alex Zhavoronkov, Anastasia Georgievskaya, Konstantin Kiselev, Timur Tlyachev, Sören Jaspers
BACKGROUND: Recent advancements in artificial intelligence have revolutionized dermatological diagnostics. These technologies, particularly machine learning (ML), including deep learning (DL), have shown accuracy equivalent or even superior to human experts in diagnosing skin conditions like melanoma. With the integration of ML, including DL, the development of at home skin analysis devices has become feasible. To this end, we introduced the Skinly system, a handheld device capable of evaluating various personal skin characteristics noninvasively...
March 2024: Skin Research and Technology