Non-invasive detection of cardiac allograft rejection among heart transplant recipients using an electrocardiogram based deep learning model

AIMS: Current non-invasive screening methods for cardiac allograft rejection have shown limited discrimination and are yet to be broadly integrated into heart transplant care. Given electrocardiogram (ECG) changes have been reported with severe cardiac allograft rejection, this study aimed to develo...

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Detalles Bibliográficos
Autores principales: Adedinsewo, Demilade, Hardway, Heather D, Morales-Lara, Andrea Carolina, Wieczorek, Mikolaj A, Johnson, Patrick W, Douglass, Erika J, Dangott, Bryan J, Nakhleh, Raouf E, Narula, Tathagat, Patel, Parag C, Goswami, Rohan M, Lyle, Melissa A, Heckman, Alexander J, Leoni-Moreno, Juan C, Steidley, D Eric, Arsanjani, Reza, Hardaway, Brian, Abbas, Mohsin, Behfar, Atta, Attia, Zachi I, Lopez-Jimenez, Francisco, Noseworthy, Peter A, Friedman, Paul, Carter, Rickey E, Yamani, Mohamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039431/
https://www.ncbi.nlm.nih.gov/pubmed/36974261
http://dx.doi.org/10.1093/ehjdh/ztad001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039431/
https://www.ncbi.nlm.nih.gov/pubmed/36974261
http://dx.doi.org/10.1093/ehjdh/ztad001

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