Artificial intelligence-enabled precision medicine for inflammatory skin diseases

TL;DR

This paper reviews how artificial intelligence, especially generative AI and machine learning, is transforming diagnosis, treatment, and personalized care in inflammatory skin diseases, highlighting current applications, challenges, and future prospects.

Contribution

It provides a comprehensive overview of AI applications in inflammatory skin diseases and discusses how these technologies can be integrated into clinical practice for improved outcomes.

Findings

AI enables deep phenotyping and disease heterogeneity analysis.

Generative AI accelerates drug development and personalized treatment.

Challenges include data privacy, model interpretability, and clinical integration.

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.