Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes
Abstract 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. Method...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-09-01
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| Series: | Respiratory Research |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12931-020-01523-9 |