Deep learning-based prediction of early cerebrovascular events after transcatheter aortic valve replacement
Abstract Cerebrovascular events (CVE) are among the most feared complications of transcatheter aortic valve replacement (TAVR). CVE appear difficult to predict due to their multifactorial origin incompletely explained by clinical predictors. We aimed to build a deep learning-based predictive tool fo...
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Autores principales: | Taishi Okuno, Pavel Overtchouk, Masahiko Asami, Daijiro Tomii, Stefan Stortecky, Fabien Praz, Jonas Lanz, George C. M. Siontis, Christoph Gräni, Stephan Windecker, Thomas Pilgrim |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/58810c58ee17474f9308606b1ebbbfdf |
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