Principles, applications, and future of artificial intelligence in dermatology

Frontiers in Medicine

Medicine

Zhuo Ran Cai¹  Haiwen Gui¹  Vijaytha Muralidharan¹  Jesutofunmi A. Omiye¹  Roxana Daneshjou² 

[1] Department of Dermatology, Stanford University, Stanford, CA, United States;Department of Dermatology, Stanford University, Stanford, CA, United States;Department of Biomedical Data Science, Stanford University, Stanford, CA, United States;

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

DOI  :  10.3389/fmed.2023.1278232

 received in 2023-08-16, accepted in 2023-09-27,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Omiye, Gui, Daneshjou, Cai and Muralidharan.