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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526232/ https://www.ncbi.nlm.nih.gov/pubmed/32993620 http://dx.doi.org/10.1186/s12931-020-01523-9 |