Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria.

Nilakash DasKenneth VerstraeteSanja StanojevicMarko TopalovicJean-Marie AertsWim Janssens

Published in: The European respiratory journal (2020)

The CNNs identified relevant attributes in spirometric curves to standardise ATS/ERS manoeuvre acceptability and usability recommendations, and further provides individual manoeuvre feedback. Our algorithm combines the visual experience of skilled technicians and ATS/ERS quantitative rules in automating the critical phase of spirometry quality control.

Keyphrases

deep learning
quality control
machine learning
electronic health record
artificial intelligence
health information
convolutional neural network
high resolution
lung function
neural network
clinical practice
cystic fibrosis
social media
air pollution