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What is AI? Applications of artificial intelligence to dermatology.

Authors
  • Du-Harpur, X1, 2, 3
  • Watt, F M1
  • Luscombe, N M2, 4
  • Lynch, M D1, 3
  • 1 Centre for Stem Cells and Regenerative Medicine, Faculty of Life Sciences and Medicine, King's College London, 28th Floor, Tower Wing, Guy's Hospital, London, SE1 9RT, UK.
  • 2 The Francis Crick Institute, 1 Midland Road, London, UK.
  • 3 St John's Institute of Dermatology, Guy's Hospital, London, UK.
  • 4 Okinawa Institute of Science and Technology Graduate University, Okinawa, 904-0495, Japan. , (Japan)
Type
Published Article
Journal
British Journal of Dermatology
Publisher
Wiley (Blackwell Publishing)
Publication Date
Sep 01, 2020
Volume
183
Issue
3
Pages
423–430
Identifiers
DOI: 10.1111/bjd.18880
PMID: 31960407
Source
Medline
Language
English
License
Unknown

Abstract

In the past, the skills required to make an accurate dermatological diagnosis have required exposure to thousands of patients over many years. However, in recent years, artificial intelligence (AI) has made enormous advances, particularly in the area of image classification. This has led computer scientists to apply these techniques to develop algorithms that are able to recognize skin lesions, particularly melanoma. Since 2017, there have been numerous studies assessing the accuracy of algorithms, with some reporting that the accuracy matches or surpasses that of a dermatologist. While the principles underlying these methods are relatively straightforward, it can be challenging for the practising dermatologist to make sense of a plethora of unfamiliar terms in this domain. Here we explain the concepts of AI, machine learning, neural networks and deep learning, and explore the principles of how these tasks are accomplished. We critically evaluate the studies that have assessed the efficacy of these methods and discuss limitations and potential ethical issues. The burden of skin cancer is growing within the Western world, with major implications for both population skin health and the provision of dermatology services. AI has the potential to assist in the diagnosis of skin lesions and may have particular value at the interface between primary and secondary care. The emerging technology represents an exciting opportunity for dermatologists, who are the individuals best informed to explore the utility of this powerful novel diagnostic tool, and facilitate its safe and ethical implementation within healthcare systems. © 2020 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.

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