Accuracy of an artificial intelligence as a medical device as part of a UK-based skin cancer teledermatology service

IntroductionAn artificial intelligence as a medical device (AIaMD), built on convolutional neural networks, has demonstrated high sensitivity for melanoma. To be of clinical value, it needs to safely reduce referral rates. The primary objective of this study was to demonstrate that the AIaMD had a h...

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Bibliographic Details

Published in:	Frontiers in Medicine
Main Authors:	Helen Marsden, Polychronis Kemos, Marcello Venzi, Mariana Noy, Shameera Maheswaran, Nicholas Francis, Christopher Hyde, Daniel Mullarkey, Dilraj Kalsi, Lucy Thomas
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-03-01
Subjects:	artificial intelligence skin cancer deep ensemble for the recognition of malignancy (DERM) teledermatology AI as a medical device skin analytics
Online Access:	https://www.frontiersin.org/articles/10.3389/fmed.2024.1302363/full