Enhancing Pediatric Asthma Homecare Management: The Potential of Deep Learning Associated with Spirometry-Labelled Data

A critical factor contributing to the burden of childhood asthma is the lack of effective self-management in homecare settings. Artificial intelligence (AI) and lung sound monitoring could help address this gap. Yet, existing AI-driven auscultation tools focus on wheeze detection and often rely on s...

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Autori principali:	Heidi Cleverley-Leblanc, Johan N. Siebert, Jonathan Doenz, Mary-Anne Hartley, Alain Gervaix, Constance Barazzone-Argiroffo, Laurence Lacroix, Isabelle Ruchonnet-Metrailler
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-10-01
Serie:	Applied Sciences
Soggetti:	asthma respiratory sounds spirometry deep learning artificial intelligence stethoscopes
Accesso online:	https://www.mdpi.com/2076-3417/15/19/10662
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