Improved prediction of sudden cardiac death in patients with heart failure through digital processing of electrocardiography

AIMS: Available predictive models for sudden cardiac death (SCD) in heart failure (HF) patients remain suboptimal. We assessed whether the electrocardiography (ECG)-based artificial intelligence (AI) could better predict SCD, and also whether the combination of the ECG-AI index and conventional pred...

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Detalles Bibliográficos
Autores principales: Shiraishi, Yasuyuki, Goto, Shinichi, Niimi, Nozomi, Katsumata, Yoshinori, Goda, Ayumi, Takei, Makoto, Saji, Mike, Sano, Motoaki, Fukuda, Keiichi, Kohno, Takashi, Yoshikawa, Tsutomu, Kohsaka, Shun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062335/
https://www.ncbi.nlm.nih.gov/pubmed/36610062
http://dx.doi.org/10.1093/europace/euac261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062335/
https://www.ncbi.nlm.nih.gov/pubmed/36610062
http://dx.doi.org/10.1093/europace/euac261

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