MedicalResearch.com Interview with:  Andreea Udrea, PhD Associate Professor University Politehnica of Bucharest   MedicalResearch.com: What is the background for this study? The skin cancer incidence rate is increasing worldwide. Early diagnosis and prevention can reduce morbidity and are also linked to decreased healthcare costs. During the last years, efforts have been made in developing smartphone applications for skin lesion risk assessment to be used by laypersons. In parallel, as machine learning (ML) is on the rise, and medical image databases are increasing in size, a series of algorithms have been developed and compared in clinical studies to dermatologists for skin cancer diagnosis. The accuracy of the algorithms and experts were comparable. One drawback of these clinical studies is that they use images acquired by professionals in standardized conditions. So, there is little knowledge of what the accuracy will be when including an ML algorithm in an app and testing it in a non-clinical setup where the image quality may be lower, and the variability in image taking scenarios is higher as images are acquired by non-professionals using the smartphone camera. This study is one of the first that evaluates the accuracy of an app (SkinVision) when being used for risk assessment of skin lesions in the general population. (more…)