Cargando…
Evaluation of a fully automated anatomical left atrial mapping pipeline enabled by artficial intelligence
FUNDING ACKNOWLEDGEMENTS: Type of funding sources: Public Institution(s). Main funding source(s): Dr. Fabbricatore and Dr Valeriano have been supported by a research grant provided by the Cardiopath PhD program (University of Naples Federico II) BACKGROUND: Pulmonary vein isolation (PVI) is increasi...
Autores principales: | Buytaert, D, Valeriano, C, Fabbricatore, D, De Schouwer, K, Peytchev, P, Geelen, P, De Potter, T |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207162/ http://dx.doi.org/10.1093/europace/euad122.536 |
Ejemplares similares
-
Improved patient selection for primary prevention ICD implantation by predicting ICD non-benefit using artificial intelligence
por: Kolk, M Z H, et al.
Publicado: (2023) -
Deep learning to diagnose left ventricular hypertrophy from standard, 12-lead ECG signals: a proof-of-concept study
por: Pantelidis, P, et al.
Publicado: (2023) -
Assessment of the atrial fibrillation burden in Holter ECG recordings using artificial intelligence
por: Hennings, E, et al.
Publicado: (2023) -
Atrial fibrillation detection using the ECG signal in the left in ear region: validation study on patients electively admitted for DC cardioversion
por: De Lucia, R, et al.
Publicado: (2023) -
Machine learning approach on high risk treadmill exercise test to predict obstructive coronary artery disease by using P QRS and T waves features
por: Yilmaz, A Y, et al.
Publicado: (2023)