Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms

Patients with rare conditions such as cardiac amyloidosis (CA) are difficult to identify, given the similarity of disease manifestations to more prevalent disorders. The deployment of approved therapies for CA has been limited by delayed diagnosis of this disease. Artificial intelligence (AI) could...

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Detalles Bibliográficos
Autores principales: Goto, Shinichi, Mahara, Keitaro, Beussink-Nelson, Lauren, Ikura, Hidehiko, Katsumata, Yoshinori, Endo, Jin, Gaggin, Hanna K., Shah, Sanjiv J., Itabashi, Yuji, MacRae, Calum A., Deo, Rahul C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113484/
https://www.ncbi.nlm.nih.gov/pubmed/33976142
http://dx.doi.org/10.1038/s41467-021-22877-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113484/
https://www.ncbi.nlm.nih.gov/pubmed/33976142
http://dx.doi.org/10.1038/s41467-021-22877-8

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