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:Radiol Artif Intell
Main Authors: Filice, Ross W., Ratwani, Raj M.
Format: Artigo
Language:Inglês
Published: Radiological Society of North America 2020
Subjects:
Editorial
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC8082296/
https://ncbi.nlm.nih.gov/pubmed/33937824
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020190095
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