Artificial intelligence-assisted auscultation in detecting congenital heart disease

AIMS: Computer-assisted auscultation has become available to assist clinicians with physical examinations to detect congenital heart disease (CHD). However, its accuracy and effectiveness remain to be evaluated. This study seeks to evaluate the accuracy of auscultations of abnormal heart sounds of a...

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Detalles Bibliográficos
Autores principales: Lv, Jingjing, Dong, Bin, Lei, Hao, Shi, Guocheng, Wang, Hansong, Zhu, Fang, Wen, Chen, Zhang, Qian, Fu, Lijun, Gu, Xiaorong, Yuan, Jiajun, Guan, Yongmei, Xia, Yuxian, Zhao, Liebin, Chen, Huiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708038/
https://www.ncbi.nlm.nih.gov/pubmed/36711176
http://dx.doi.org/10.1093/ehjdh/ztaa017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708038/
https://www.ncbi.nlm.nih.gov/pubmed/36711176
http://dx.doi.org/10.1093/ehjdh/ztaa017

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