An explainable artificial intelligence-enabled electrocardiogram analysis model for the classification of reduced left ventricular function

AIMS: The black box nature of artificial intelligence (AI) hinders the development of interpretable AI models that are applicable in clinical practice. We aimed to develop an AI model for classifying patients of reduced left ventricular ejection fraction (LVEF) from 12-lead electrocardiograms (ECG)...

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Detalles Bibliográficos
Autores principales: Katsushika, Susumu, Kodera, Satoshi, Sawano, Shinnosuke, Shinohara, Hiroki, Setoguchi, Naoto, Tanabe, Kengo, Higashikuni, Yasutomi, Takeda, Norifumi, Fujiu, Katsuhito, Daimon, Masao, Akazawa, Hiroshi, Morita, Hiroyuki, Komuro, Issei
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/PMC10232279/
https://www.ncbi.nlm.nih.gov/pubmed/37265859
http://dx.doi.org/10.1093/ehjdh/ztad027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232279/
https://www.ncbi.nlm.nih.gov/pubmed/37265859
http://dx.doi.org/10.1093/ehjdh/ztad027

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