The Case for User-Centered Artificial Intelligence in Radiology

Past technology transition successes and failures have demonstrated the importance of user-centered design and the science of human factors; these approaches will be critical to the success of artificial intelligence in radiology.

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Bibliographic Details
Published in:Radiology. Artificial intelligence 2020-05, Vol.2 (3), p.e190095
Main Authors: Filice, Ross W, Ratwani, Raj M
Format: Article
Language:English
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Summary:Past technology transition successes and failures have demonstrated the importance of user-centered design and the science of human factors; these approaches will be critical to the success of artificial intelligence in radiology.
ISSN:2638-6100
2638-6100
DOI:10.1148/ryai.2020190095