Artificial intelligence in atopic dermatitis: Current applications and future perspectives

Atopic dermatitis (AD) is a prevalent and burdensome chronic skin disease, with profound effects on patient quality of life. Advancing its diagnosis and management remains a pressing clinical need. Artificial intelligence holds growing promise in addressing this challenge. This review outlines the current landscape of AD and explores the expanding role of AI in its care-from improving diagnostic accuracy and objective severity scoring to predicting therapeutic outcomes and personalizing treatment strategies. While these technologies are poised to transform dermatology practice, their successful integration will depend on overcoming technical and practical barriers through collaborative, interdisciplinary efforts. Further research and thoughtful implementation are essential to translate AI's potential into better, more precise patient care.

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Publication Details

Journal
Chinese Medical Journal
Published
2026-03-23
DOI
https://doi.org/10.1097/cm9.0000000000004020
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence in atopic dermatitis: Current applications and future perspectives

Jingyi Li, Yujia Chen
Chinese Medical Journal
Dermatology and Skin Diseases
article

Artificial intelligence in atopic dermatitis: Current applications and future perspectives

Jingyi Li, Yujia Chen
article en

Abstract

Atopic dermatitis (AD) is a prevalent and burdensome chronic skin disease, with profound effects on patient quality of life. Advancing its diagnosis and management remains a pressing clinical need. Artificial intelligence holds growing promise in addressing this challenge. This review outlines the current landscape of AD and explores the expanding role of AI in its care-from improving diagnostic accuracy and objective severity scoring to predicting therapeutic outcomes and personalizing treatment strategies. While these technologies are poised to transform dermatology practice, their successful integration will depend on overcoming technical and practical barriers through collaborative, interdisciplinary efforts. Further research and thoughtful implementation are essential to translate AI's potential into better, more precise patient care.

Chinese Medical Journal
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Openalex Percentile: Top 10%
Dermatology and Skin Diseases
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