Real-world performance, long-term efficacy, and absence of bias in the artificial intelligence enhanced electrocardiogram to detect left ventricular systolic dysfunction

AIMS: Some artificial intelligence models applied in medical practice require ongoing retraining, introduce unintended racial bias, or have variable performance among different subgroups of patients. We assessed the real-world performance of the artificial intelligence-enhanced electrocardiogram to...

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Detalles Bibliográficos
Autores principales: Harmon, David M, Carter, Rickey E, Cohen-Shelly, Michal, Svatikova, Anna, Adedinsewo, Demilade A, Noseworthy, Peter A, Kapa, Suraj, Lopez-Jimenez, Francisco, Friedman, Paul A, Attia, Zachi I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558265/
https://www.ncbi.nlm.nih.gov/pubmed/36247412
http://dx.doi.org/10.1093/ehjdh/ztac028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558265/
https://www.ncbi.nlm.nih.gov/pubmed/36247412
http://dx.doi.org/10.1093/ehjdh/ztac028

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