JOURNAL ARTICLE

Artificial intelligence and machine learning in dermatological research and healthcare: British Society for Investigative Dermatology Skin Club Report, Southampton, April 2024.

  • Published In: British Journal of Dermatology, 2025, v. 192, n. 1. P. 118 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lai, Chester; Fuggle, Nicholas R; Matin, Rubeta N; Tanaka, Reiko J.; Banerji, Christopher R S; Rajan, Neil 3 of 3

Abstract

The article discusses the integration of artificial intelligence (AI) and machine learning (ML) in dermatological research and healthcare. It highlights the historical context of AI, its current applications in clinical practice, and the challenges and opportunities it presents. The text emphasizes the importance of transparency, regulation, and human oversight in the development and deployment of AI tools in dermatology. It also explores the potential for personalized treatment strategies for skin conditions like atopic dermatitis using computational approaches. The article concludes by underscoring the need for interdisciplinary collaboration to harness the benefits of AI in dermatological research and patient care. [Extracted from the article]

Additional Information

  • Source:British Journal of Dermatology. 2025/01, Vol. 192, Issue 1, p118
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:0007-0963
  • DOI:10.1093/bjd/ljae395
  • Accession Number:181825740
  • Copyright Statement:Copyright of British Journal of Dermatology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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