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

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-profit me...

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Bibliographic Details

Published in:	European Radiology Vol. 31; no. 6; pp. 3909 - 3923
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
Format:	pictorial tables/charts Journal Article
Published:	Springer Nature Jun2021
Online Access:	View this record in EBSCOhost