Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management
Atopic dermatitis (AD) is a common and complex skin disease that significantly affects the quality of life of patients. The latest advances in artificial intelligence (AI) technology have introduced new methods for diagnosing, treating, and managing AD. AI has various innovative applications in the...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Annals of Medicine |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/07853890.2025.2484665 |
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| _version_ | 1850215552865271808 |
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| author | Fang Cao Yujie Yang Cui Guo Hui Zhang Qianying Yu Jing Guo |
| author_facet | Fang Cao Yujie Yang Cui Guo Hui Zhang Qianying Yu Jing Guo |
| author_sort | Fang Cao |
| collection | DOAJ |
| description | Atopic dermatitis (AD) is a common and complex skin disease that significantly affects the quality of life of patients. The latest advances in artificial intelligence (AI) technology have introduced new methods for diagnosing, treating, and managing AD. AI has various innovative applications in the diagnosis and treatment of atopic dermatitis, with particular emphasis on its significant benefits in medical diagnosis, treatment monitoring, and patient care. AI algorithms, especially those that use deep learning techniques, demonstrate strong performance in recognizing skin images and effectively distinguishing different types of skin lesions, including common AD manifestations. In addition, artificial intelligence has also shown promise in creating personalized treatment plans, simplifying drug development processes, and managing clinical trials. Despite challenges in data privacy and model transparency, the potential of artificial intelligence in advancing AD care is enormous, bringing the future to precision medicine and improving patient outcomes. This manuscript provides a comprehensive review of the application of AI in the process of AD disease for the first time, aiming to play a key role in the advancement of AI in skin health care and further enhance the clinical diagnosis and treatment of AD. |
| format | Article |
| id | doaj-art-13b5d1dc0db24164a1f08537532f70ff |
| institution | OA Journals |
| issn | 0785-3890 1365-2060 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Annals of Medicine |
| spelling | doaj-art-13b5d1dc0db24164a1f08537532f70ff2025-08-20T02:08:35ZengTaylor & Francis GroupAnnals of Medicine0785-38901365-20602025-12-0157110.1080/07853890.2025.2484665Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient managementFang Cao0Yujie Yang1Cui Guo2Hui Zhang3Qianying Yu4Jing Guo5Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaSinopharm Chongqing Southwest Aluminum Hospital, Beijing, ChinaChengdu University of Traditional Chinese Medicine, Chengdu, ChinaChengdu University of Traditional Chinese Medicine, Chengdu, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, ChinaAtopic dermatitis (AD) is a common and complex skin disease that significantly affects the quality of life of patients. The latest advances in artificial intelligence (AI) technology have introduced new methods for diagnosing, treating, and managing AD. AI has various innovative applications in the diagnosis and treatment of atopic dermatitis, with particular emphasis on its significant benefits in medical diagnosis, treatment monitoring, and patient care. AI algorithms, especially those that use deep learning techniques, demonstrate strong performance in recognizing skin images and effectively distinguishing different types of skin lesions, including common AD manifestations. In addition, artificial intelligence has also shown promise in creating personalized treatment plans, simplifying drug development processes, and managing clinical trials. Despite challenges in data privacy and model transparency, the potential of artificial intelligence in advancing AD care is enormous, bringing the future to precision medicine and improving patient outcomes. This manuscript provides a comprehensive review of the application of AI in the process of AD disease for the first time, aiming to play a key role in the advancement of AI in skin health care and further enhance the clinical diagnosis and treatment of AD.https://www.tandfonline.com/doi/10.1080/07853890.2025.2484665Atopic dermatitisartificial intelligencedeep learningskin diseaseinterdisciplinary |
| spellingShingle | Fang Cao Yujie Yang Cui Guo Hui Zhang Qianying Yu Jing Guo Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management Annals of Medicine Atopic dermatitis artificial intelligence deep learning skin disease interdisciplinary |
| title | Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management |
| title_full | Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management |
| title_fullStr | Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management |
| title_full_unstemmed | Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management |
| title_short | Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management |
| title_sort | advancements in artificial intelligence for atopic dermatitis diagnosis treatment and patient management |
| topic | Atopic dermatitis artificial intelligence deep learning skin disease interdisciplinary |
| url | https://www.tandfonline.com/doi/10.1080/07853890.2025.2484665 |
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