Artificial Intelligence in Skin Diseases:Fulfilling its Potentials to Meet the Real Needs in Dermatology Practice

Artificial intelligence(AI)medical image analysis techniques based on deep learning and machine learning have developed rapidly in recent years.Since the diagnosis of skin diseases is mainly based on the morphology of lesions,dermatology is considered a promising area for AI image analysis techniques.In 2017,scientists from Stanford University published a milestone paper in Nature to show the performance of AI was comparable to dermatologists in the classification and recognition of skin cancer,using convolutional neural network(CNN)models trained on nearly 130,000 clinical images[1].Since then,many countries have been actively developing similar products.So far,the U.S.Food and Drug Administration has approved 3Drem,Google DeepMind,and SkinVision.In China,Youzhi Pifu,Voxel-Cloud DermX,and Meitueve have entered the public view.The public’s interest in AI roars,and the imagination of AI replacing dermatologists seems to be a reality in the foreseen future.