EADV News 70 Spring 2019

WINTER 2015–2016 SPRING 2019

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Digital dermatology:

offer total body skin lesion mapping, and applications are available to store and process images, offer virtual consultations, and even provide possible diagnosis. In a rapidly evolving digital world, is there room for the human factor? AI: the physicians’ view Advances in artificial intelligence are also fascinating. In machine learning, a deep convolutional neural network (CNN) is capable of learning from images and teaching itself further to improve its performance. CNNs, trained from images, have been shown to achieve performances better than most dermatologists and on a par with expert board-certified dermatologists in the classification of skin cancer versus benign skin lesions. What do dermatologists think about augmented or artificial intelligence? Some embrace and welcome the new technologies, while others face them with scepticism. The former view them as a challenging opportunity to learn new skills and even improve themselves in order to critically appraise the digital outcome. The latter are concerned

enablingmore

personalised care

The times when dermatologists examined patients by physical examination only are nearly gone. In the era of digital dermatology, dermoscopy is widely used in clinical practice, while digital photographic documentation has become routine for the management of patients at high risk of developing melanoma and other types of skin cancer. Electronic medical records, online databases, e-tools and practice management apps are only a few examples of the vast variety of applications of innovative technology in clinical care and education. In addition, smartphones are

able to capture images, access dermatology textbooks and online databases, and bring together dermatologists from all over the world with the click of a button. Robotics

© JMIR Dermatology (JDerm), Vol 1, No 2 (2018): Jul-Dec

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