Artificial intelligence-enabled precision medicine for inflammatory skin diseases
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913837107642368 |
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| author | Tang, Alice Wei, Maria Haemel, Anna La, Cindy Sirota, Marina Lee, Ernest Y. |
| author_facet | Tang, Alice Wei, Maria Haemel, Anna La, Cindy Sirota, Marina Lee, Ernest Y. |
| contents | Recent advances in artificial intelligence (AI) and multimodal data collection are revolutionizing dermatology. Generative AI and machine learning approaches offer opportunities to enhance the diagnosis and treatment of inflammatory skin diseases, including atopic dermatitis, psoriasis, hidradenitis suppurativa, and autoimmune connective tissue disease. This review examines the current landscape of AI applications for inflammatory skin diseases and explores how generative AI and machine learning methods can advance the field through deep phenotyping, disease heterogeneity characterization, drug development, personalized medicine, and clinical care. We discuss the promises and challenges of these technologies and present a vision for their integration into clinical practice. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_09527 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Artificial intelligence-enabled precision medicine for inflammatory skin diseases Tang, Alice Wei, Maria Haemel, Anna La, Cindy Sirota, Marina Lee, Ernest Y. Other Quantitative Biology Recent advances in artificial intelligence (AI) and multimodal data collection are revolutionizing dermatology. Generative AI and machine learning approaches offer opportunities to enhance the diagnosis and treatment of inflammatory skin diseases, including atopic dermatitis, psoriasis, hidradenitis suppurativa, and autoimmune connective tissue disease. This review examines the current landscape of AI applications for inflammatory skin diseases and explores how generative AI and machine learning methods can advance the field through deep phenotyping, disease heterogeneity characterization, drug development, personalized medicine, and clinical care. We discuss the promises and challenges of these technologies and present a vision for their integration into clinical practice. |
| title | Artificial intelligence-enabled precision medicine for inflammatory skin diseases |
| topic | Other Quantitative Biology |
| url | https://arxiv.org/abs/2505.09527 |