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

来源：

EXPERIMENTAL DERMATOLOGY | 2023年 / 32卷 / 11期

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

页码：1884 / 1899

页数：16

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