Artificial intelligence-enabled precision medicine for inflammatory skin diseases.

Journal: ArXiv
Published Date:

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.

Authors

  • Alice Tang
    Bakar Computational Health Sciences Institute, University of California, San Francisco, CA 94158.
  • Maria L Wei
    Department of Dermatology, University of California, San Francisco, San Francisco, California, USA; Dermatology Service, San Francisco Veterans Affairs Medical Center, San Francisco, California, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA. Electronic address: maria.wei@ucsf.edu.
  • Anna Haemel
    Department of Dermatology, University of California, San Francisco, San Francisco, California, USA.
  • Cindy La
    Department of Internal Medicine, Southern California Permanente Medical Group, Baldwin Park, California, USA.
  • Marina Sirota
    Bakar Computational Health Sciences Institute, University of California, San Francisco, California 94158, United States.
  • Ernest Y Lee
    Department of Bioengineering, Department of Chemistry, California NanoSystems Institute, University of California, Los Angeles, CA 90095, United States.

Keywords

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