Development of an Intelligent Clinical Decision Support System for Spirometry Quality Control

<b>Background</b>: Spirometry is the most widely used pulmonary function test for diagnosing respiratory diseases. However, the quality of the results mainly depends on the correct execution of the maneuver, making quality control essential. Traditionally, this process relies on subjective and labor...

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Autors principals:	Julia López-Canay, Ana Priegue-Carrera, Alejandro Casado-Trigo, Cristina Represas-Represas, Alberto Fernández-García, Alberto Comesaña-Campos, Manuel Casal-Guisande, Alberto Fernández-Villar
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-01-01
Col·lecció:	Diagnostics
Matèries:	spirometry quality control intelligent system deep learning convolutional neural networks spirometry curves
Accés en línia:	https://www.mdpi.com/2075-4418/16/2/213
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