Artificial intelligence in psoriasis: Where we are and where we are going

被引:3
|
作者
Liu, Zhenhua [1 ,2 ]
Wang, Xinyu [3 ]
Ma, Yao [4 ]
Lin, Yiting [2 ]
Wang, Gang [1 ]
机构
[1] Fourth Mil Med Univ, Xijing Hosp, Dept Dermatol, 127 Changlexi Rd, Xian 710032, Shaanxi, Peoples R China
[2] Fourth Mil Med Univ, Tangdu Hosp, Dept Dermatol, 1 Xinsi Rd, Xian 710038, Shaanxi, Peoples R China
[3] Valdosta State Univ, Dept Econ Finance & Healthcare Adm, Valdosta, GA 31602 USA
[4] Fourth Mil Med Univ, Student Brigade Basic Med Sch, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
artificial intelligence; deep learning; dermatology; machine learning; psoriasis; CONVOLUTIONAL NEURAL-NETWORKS; RISK STRATIFICATION; SEVERITY INDEX; MACHINE VISION; SKIN-CANCER; SEGMENTATION; CLASSIFICATION; MANAGEMENT; ARTHRITIS; IMAGES;
D O I
10.1111/exd.14938
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Artificial intelligence (AI) is a field of computer science that involves the development of programs designed to replicate human cognitive processes and the analysis of complex data. In dermatology, which is predominantly a visual-based diagnostic field, AI has become increasingly important in improving professional processes, particularly in the diagnosis of psoriasis. In this review, we summarized current AI applications in psoriasis: (i) diagnosis, including identification, classification, lesion segmentation, lesion severity and area scoring; (ii) treatment, including prediction treatment efficiency and prediction candidate drugs; (iii) management, including e-health and preventive medicine. Key challenges and future aspects of AI in psoriasis were also discussed, in hope of providing potential directions for future studies.
引用
收藏
页码:1884 / 1899
页数:16
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