Artificial intelligence accuracy in detecting pathological breath sounds in children using digital stethoscopes

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...

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Bibliographic Details
Main Authors: Ajay Kevat, Anaath Kalirajah, Robert Roseby
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Respiratory Research
Subjects:
Artificial intelligence
Auscultation
Child
Respiratory sounds
Stethoscopes
Online Access:http://link.springer.com/article/10.1186/s12931-020-01523-9

Internet

http://link.springer.com/article/10.1186/s12931-020-01523-9

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