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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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| Publicado no: | Radiol Artif Intell |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2020
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| Assuntos: | |
| Acesso em linha: | 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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