Background: LungPass is an Automatic Lung Sound Analysis app-enabled device, including an electronic wireless stethoscope and a mobile application developed using neural networks training methodology. Such stethoscope could have crucial practical applications, such as the early identification of acute and exacerbations of chronic airway diseases. LungPass has achieved high accuracy in the identification of the main lung sounds in a training cohort. We present the accuracy characteristics of LungPass, evaluated in an independent, validation cohort.