Artificial intelligence in the detection of skin cancer
- PMID: 35998842
- DOI: 10.1016/j.jaad.2022.08.028
Artificial intelligence in the detection of skin cancer
Abstract
Recent advances in artificial intelligence (AI) in dermatology have demonstrated the potential to improve the accuracy of skin cancer detection. These capabilities may augment current diagnostic processes and improve the approach to the management of skin cancer. To explain this technology, we discuss fundamental terminology, potential benefits, and limitations of AI, and commercial applications relevant to dermatologists. A clear understanding of the technology may help to reduce physician concerns about AI and promote its use in the clinical setting. Ultimately, the development and validation of AI technologies, their approval by regulatory agencies, and widespread adoption by dermatologists and other clinicians may enhance patient care. Technology-augmented detection of skin cancer has the potential to improve quality of life, reduce health care costs by reducing unnecessary procedures, and promote greater access to high-quality skin assessment. Dermatologists play a critical role in the responsible development and deployment of AI capabilities applied to skin cancer.
Keywords: artificial intelligence; clinical practice; diagnosis; health care dollars; machine learning; neural networks; skin cancer; technology.
Copyright © 2022 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Conflicts of interest Drs Salmon and Leffell are the medical advisors and stockholders for DermaSensor, Inc. Dr Ko is a Chair of the AAD Committee on Augmented Intelligence and a medical advisor for SkinAnalytics. Dr Grant-Kels is a medical advisor, and stockholder for DermaSensor, Inc and VerraDermics, Inc. Drs Beltrami and Brown have no conflicts of interest to declare.
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