Gilbert, FJ, Smye, SW orcid.org/0000-0003-4975-5220 and Schönlieb, C-B (2020) Artificial intelligence in clinical imaging: a health system approach. Clinical Radiology, 75 (1). pp. 3-6. ISSN 0009-9260
Abstract
The development and application of artificial intelligence (AI) to radiology requires an approach that encompasses a health system. The UK government and National Health Service (NHS) are creating an ecosystem to facilitate academic/industrial partnerships aimed at accelerating the creation of relevant and robust AI tools, which will improve the development and delivery of healthcare imaging. A series of recent initiatives are described, which will drive the development and adoption of AI in clinical imaging.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Clinical Radiology. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Oct 2019 14:14 |
Last Modified: | 30 Sep 2020 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.crad.2019.09.122 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:152179 |