Left ventricular assessment with artificial intelligence increases the diagnostic accuracy of stress echocardiography

AIMS: To evaluate whether left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS), automatically calculated by artificial intelligence (AI), increases the diagnostic performance of stress echocardiography (SE) for coronary artery disease (CAD) detection. METHODS AND RESULTS: S...

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Detalles Bibliográficos
Autores principales: O’Driscoll, Jamie M, Hawkes, William, Beqiri, Arian, Mumith, Angela, Parker, Andrew, Upton, Ross, McCourt, Annabelle, Woodward, William, Dockerill, Cameron, Sabharwal, Nikant, Kardos, Attila, Augustine, Daniel X, Balkhausen, Katrin, Chandrasekaran, Badrinathan, Firoozan, Soroosh, Marciniak, Anna, Heitner, Stephen, Yadava, Mrinal, Kaul, Sanjiv, Sarwar, Rizwan, Sharma, Rajan, Woodward, Gary, Leeson, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580364/
https://www.ncbi.nlm.nih.gov/pubmed/36284642
http://dx.doi.org/10.1093/ehjopen/oeac059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580364/
https://www.ncbi.nlm.nih.gov/pubmed/36284642
http://dx.doi.org/10.1093/ehjopen/oeac059

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