The application of blood flow sound contrastive learning to predict arteriovenous graft stenosis of patients with hemodialysis.
End-stage kidney disease (ESKD) presents a significant public health challenge, with hemodialysis (HD) remaining one of the most prevalent kidney replacement therapies. Ensuring the longevity and functionality of arteriovenous accesses is challenging for HD patients. Blood flow sound, which contains...
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| Principais autores: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Acceso en liña: | https://doi.org/10.1371/journal.pone.0308385 |
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