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Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes
BACKGROUND: Manual auscultation to detect abnormal breath sounds has poor inter-observer reliability. Digital stethoscopes with artificial intelligence (AI) could improve reliable detection of these sounds. We aimed to independently test the abilities of AI developed for this purpose. METHODS: One h...
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| Publicado no: | Respir Res |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7526232/ https://ncbi.nlm.nih.gov/pubmed/32993620 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12931-020-01523-9 |
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