Artificial intelligence in atopic dermatitis: Current applications and future perspectives

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Authors: Ye Chen, Jingyi Li
Cited by: 3
References: 73

Abstract

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.

Fields of Study & Subjects

Dermatology and Skin Diseases Allergic Rhinitis and Sensitization Psoriasis: Treatment and Pathogenesis

Publication details

Journal / source
Chinese Medical Journal
Publisher
Ovid Technologies (Wolters Kluwer Health)
Volume
139
Issue
9
Pages
1337–1345
Publication date
23 March 2026
Language
EN