Machine learning analysis of complex late gadolinium enhancement patterns to improve risk prediction of major arrhythmic events

BACKGROUND: Machine learning analysis of complex myocardial scar patterns affords the potential to enhance risk prediction of life-threatening arrhythmia in stable coronary artery disease (CAD). OBJECTIVE: To assess the utility of computational image analysis, alongside a machine learning (ML) appro...

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Detalles Bibliográficos
Autores principales: Zaidi, Hassan A., Jones, Richard E., Hammersley, Daniel J., Hatipoglu, Suzan, Balaban, Gabriel, Mach, Lukas, Halliday, Brian P., Lamata, Pablo, Prasad, Sanjay K., Bishop, Martin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941157/
https://www.ncbi.nlm.nih.gov/pubmed/36824460
http://dx.doi.org/10.3389/fcvm.2023.1082778

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941157/
https://www.ncbi.nlm.nih.gov/pubmed/36824460
http://dx.doi.org/10.3389/fcvm.2023.1082778

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