Fully Automated Cardiac Assessment for Diagnostic and Prognostic Stratification Following Myocardial Infarction

BACKGROUND: Cardiovascular magnetic resonance imaging is considered the reference methodology for cardiac morphology and function but requires manual postprocessing. Whether novel artificial intelligence–based automated analyses deliver similar information for risk stratification is unknown. Therefo...

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Detalles Bibliográficos
Autores principales: Schuster, Andreas, Lange, Torben, Backhaus, Sören J., Strohmeyer, Carolin, Boom, Patricia C., Matz, Jonas, Kowallick, Johannes T., Lotz, Joachim, Steinmetz, Michael, Kutty, Shelby, Bigalke, Boris, Gutberlet, Matthias, de Waha‐Thiele, Suzanne, Desch, Steffen, Hasenfuß, Gerd, Thiele, Holger, Stiermaier, Thomas, Eitel, Ingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726968/
https://www.ncbi.nlm.nih.gov/pubmed/32873121
http://dx.doi.org/10.1161/JAHA.120.016612

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726968/
https://www.ncbi.nlm.nih.gov/pubmed/32873121
http://dx.doi.org/10.1161/JAHA.120.016612

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