Artificial intelligence in psoriasis: Where we are and where we are going

19Citations
Citations of this article
54Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Artificial intelligence (AI) is a field of computer science that involves the development of programs designed to replicate human cognitive processes and the analysis of complex data. In dermatology, which is predominantly a visual-based diagnostic field, AI has become increasingly important in improving professional processes, particularly in the diagnosis of psoriasis. In this review, we summarized current AI applications in psoriasis: (i) diagnosis, including identification, classification, lesion segmentation, lesion severity and area scoring; (ii) treatment, including prediction treatment efficiency and prediction candidate drugs; (iii) management, including e-health and preventive medicine. Key challenges and future aspects of AI in psoriasis were also discussed, in hope of providing potential directions for future studies.

Cite

CITATION STYLE

APA

Liu, Z., Wang, X., Ma, Y., Lin, Y., & Wang, G. (2023, November 1). Artificial intelligence in psoriasis: Where we are and where we are going. Experimental Dermatology. John Wiley and Sons Inc. https://doi.org/10.1111/exd.14938

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free