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With the help of a mobile phone app developed in Graz, suspicious areas of skin and moles can be scanned and the risk assessed – with 95 percent accuracy, as reported by the Medical University of Graz. The app was tested there in a clinical study.
The diagnostic and risk-based accuracy of the neural networks used in the app was evaluated. More than 1100 skin lesions from 238 patients who came to the clinic for a routine examination or for the removal of skin abnormalities (lesions) were examined. In addition to the experienced eyes of two dermatologists and histological findings, the algorithm based on artificial intelligence also played a role. The risk assessment of the algorithm was rated as “correct” if it corresponded to the assessment of both dermatologists or an existing histology. The result: more than 95 percent of the “skin samples” were correctly identified.
Source: Nachrichten
