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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kevat, Ajay, Kalirajah, Anaath, Roseby, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
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

Internet

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

Ejemplares similares