Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges

ABSTRACT: Machine learning offers great opportunities to streamline and improve clinical care from the perspective of cardiac imagers, patients, and the industry and is a very active scientific research field. In light of these advances, the European Society of Cardiovascular Radiology (ESCR), a non...

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Detalhes bibliográficos
Publicado no:Eur Radiol
Main Authors: Weikert, Thomas, Francone, Marco, Abbara, Suhny, Baessler, Bettina, Choi, Byoung Wook, Gutberlet, Matthias, Hecht, Elizabeth M., Loewe, Christian, Mousseaux, Elie, Natale, Luigi, Nikolaou, Konstantin, Ordovas, Karen G., Peebles, Charles, Prieto, Claudia, Salgado, Rodrigo, Velthuis, Birgitta, Vliegenthart, Rozemarijn, Bremerich, Jens, Leiner, Tim
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2020
Assuntos:
Cardiac
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8128798/
https://ncbi.nlm.nih.gov/pubmed/33211147
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07417-0
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