Tang Alice, Wei Maria L, Haemel Anna, La Cindy, Sirota Marina, Lee Ernest Y
Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA.
Department of Dermatology, University of California, San Francisco, San Francisco, California, USA.
ArXiv. 2025 May 14:arXiv:2505.09527v1.
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.
人工智能（AI）和多模态数据收集方面的最新进展正在彻底改变皮肤病学。生成式AI和机器学习方法为改善炎症性皮肤病（包括特应性皮炎、银屑病、化脓性汗腺炎和自身免疫性结缔组织病）的诊断和治疗提供了机会。本综述探讨了AI在炎症性皮肤病中的应用现状，并探讨了生成式AI和机器学习方法如何通过深度表型分析、疾病异质性表征、药物开发、个性化医疗和临床护理推动该领域的发展。我们讨论了这些技术的前景和挑战，并提出了将它们整合到临床实践中的愿景。
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