Principles, applications, and future of artificial intelligence in dermatology

Jesutofunmi A Omiye; Haiwen Gui; Roxana Daneshjou; Zhuo Ran Cai; Vijaytha Muralidharan

doi:10.3389/fmed.2023.1278232

Principles, applications, and future of artificial intelligence in dermatology

Front Med (Lausanne). 2023 Oct 12:10:1278232. doi: 10.3389/fmed.2023.1278232. eCollection 2023.

Authors

Jesutofunmi A Omiye¹, Haiwen Gui¹, Roxana Daneshjou^{1

2}, Zhuo Ran Cai¹, Vijaytha Muralidharan¹

Affiliations

¹ Department of Dermatology, Stanford University, Stanford, CA, United States.
² Department of Biomedical Data Science, Stanford University, Stanford, CA, United States.

Abstract

This paper provides an overview of artificial-intelligence (AI), as applied to dermatology. We focus our discussion on methodology, AI applications for various skin diseases, limitations, and future opportunities. We review how the current image-based models are being implemented in dermatology across disease subsets, and highlight the challenges facing widespread adoption. Additionally, we discuss how the future of AI in dermatology might evolve and the emerging paradigm of large language, and multi-modal models to emphasize the importance of developing responsible, fair, and equitable models in dermatology.

Keywords: artificial intelligence (AI); dermatology; federated learning; large language models (LLM); machine learning; melanoma.

Publication types

Review

Grants and funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.