A comprehensive artificial intelligence–enabled electrocardiogram interpretation program

BACKGROUND: Automated computerized electrocardiogram (ECG) interpretation algorithms are designed to enhance physician ECG interpretation, minimize medical error, and expedite clinical workflow. However, the performance of current computer algorithms is notoriously inconsistent. We aimed to develop...

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Detalles Bibliográficos
Autores principales: Kashou, Anthony H., Ko, Wei-Yin, Attia, Zachi I., Cohen, Michal S., Friedman, Paul A., Noseworthy, Peter A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Clinical
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890098/
https://www.ncbi.nlm.nih.gov/pubmed/35265877
http://dx.doi.org/10.1016/j.cvdhj.2020.08.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890098/
https://www.ncbi.nlm.nih.gov/pubmed/35265877
http://dx.doi.org/10.1016/j.cvdhj.2020.08.005

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