Chinese Journal of Dermatology ›› 2024, e20220660.doi: 10.35541/cjd.20220660

• Reviews • Previous Articles     Next Articles

Application of deep learning in non-neoplastic dermatoses

Wang Yukun, Liu Jie   

  1. Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Center for Translational Medicine, Beijing 100730, China
  • Received:2022-09-16 Revised:2022-11-30 Online:2024-01-29 Published:2024-03-01
  • Contact: Liu Jie
  • Supported by:
    National High-level Hospital Clinical Research Funding (2022-PUMCH-B-092); CAMS Innovation Fund for Medical Sciences (2022-I2M-C&T-A-007); National Natural Science Foundation of China (82173449)

Abstract: 【Abstract】 With the emergence of the era of big data and the development of computer science, the application of deep learning in dermatology has expanded from the differentiation between benign and malignant cutaneous tumors to the assistance in the diagnosis, severity assessment and treatment of various non-neoplastic dermatoses. This review summarizes recent advances in the application of deep learning in the auxiliary diagnosis and treatment of psoriasis, atopic dermatitis/eczema, onychomycosis, acne vulgaris, etc., so as to raise dermatologists′ understanding of this field and promote the development of related research.

Key words: Artificial intelligence, Psoriasis, Dermatitis, atopic, Onychomycosis, Acne vulgaris, Diagnosis, Deep learning, Non-neoplastic dermatoses, Disease severity assessment, Treatment