Artificial intelligence in clinical imaging: a health system approach.
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Gilbert, F., Smye, S., & Schönlieb, C. (2020). Artificial intelligence in clinical imaging: a health system approach.. Clin Radiol, 75 (1), 3-6. https://doi.org/10.1016/j.crad.2019.09.122
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.
Humans, Radiology, Diffusion of Innovation, Artificial Intelligence, State Medicine, United Kingdom
Engineering and Physical Sciences Research Council (EP/N014588/1)
Engineering and Physical Sciences Research Council (EP/J009539/1)
Engineering and Physical Sciences Research Council (EP/M00483X/1)
External DOI: https://doi.org/10.1016/j.crad.2019.09.122
This record's URL: https://www.repository.cam.ac.uk/handle/1810/298068
Attribution-NonCommercial-NoDerivatives 4.0 International
Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/