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The potential impact of artificial intelligence in radiology

Detalles Bibliográficos
Autores principales: Paiva, Omir Antunes, Prevedello, Luciano M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Colégio Brasileiro de Radiologia e Diagnóstico por Imagem 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656066/
https://www.ncbi.nlm.nih.gov/pubmed/29085178
http://dx.doi.org/10.1590/0100-3984.2017.50.5e1
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author Paiva, Omir Antunes
Prevedello, Luciano M.
author_facet Paiva, Omir Antunes
Prevedello, Luciano M.
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spelling pubmed-56560662017-10-30 The potential impact of artificial intelligence in radiology Paiva, Omir Antunes Prevedello, Luciano M. Radiol Bras Editorials Colégio Brasileiro de Radiologia e Diagnóstico por Imagem 2017 /pmc/articles/PMC5656066/ /pubmed/29085178 http://dx.doi.org/10.1590/0100-3984.2017.50.5e1 Text en © Colégio Brasileiro de Radiologia e Diagnóstico por Imagem http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Editorials
Paiva, Omir Antunes
Prevedello, Luciano M.
The potential impact of artificial intelligence in radiology
title The potential impact of artificial intelligence in radiology
title_full The potential impact of artificial intelligence in radiology
title_fullStr The potential impact of artificial intelligence in radiology
title_full_unstemmed The potential impact of artificial intelligence in radiology
title_short The potential impact of artificial intelligence in radiology
title_sort potential impact of artificial intelligence in radiology
topic Editorials
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656066/
https://www.ncbi.nlm.nih.gov/pubmed/29085178
http://dx.doi.org/10.1590/0100-3984.2017.50.5e1
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