Automated Quality Assessment of Spirometry Data

Analytics & Big Data

Do you know anyone using ArtiQ.QC?

Powered by deep learning mimicking human visual assessment of spirometry quality. Scalable, immediate and reliable assessment of spirometry data in clinical studies. ArtiQ.QC offers a cloud-based, scalable solution that can be tailored to the study setup and choice between centralised or decentralized data collection. ArtiQ.QC analysis can be exchanged throughout the study. This allows for timely decisions on spirometry quality. The ArtiQ technology is compatible with your tools through a generic API, independent of your choice of study platform, vendor software or other IT systems. Make timely and informed decisions on spirometry quality. Unleash the potential of spirometry AI to deliver reliable outcomes.


  • Speed

Faster turn-around time to complete quality control (QC) and evaluation of spirometry endpoints.

  • Reduced Cost

Immediate results with reduced subject burden as another effort can be done while subjects are still at the site.

  • Reduction in Time

High-quality data collection with potential reduction in sample size or study duration.

  • Consistency

Reduced inter- and intra-rater variability when assessing spirometry quality.


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