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Artificial intelligence-enabled precision medicine for inflammatory skin diseases

Year: 2025

Type: preprint

Abstract: 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.

Source: arXiv (Cornell University)

Authors: Tang, Alice, Wei, Maria, Haemel, Anna, La, Cindy, Sirota, Marina, Lee, Ernest Y.

Institutions: University of California, San Francisco, San Francisco VA Medical Center, San Francisco VA Health Care System, Kaiser Permanente Baldwin Park Medical Center

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, University of California, San Francisco, National Institute of General Medical Sciences

Awards: G1813425171, Medical Scientist Training Program, G4950536974, G5844706375

OpenAlex ID: W6979355278

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