Automated Quality Assessment of Spirometry Data
Powered by deep learning mimicking human visual assessment of spirometry quality. Scalable, immediate and reliable assessment of spirometry data in clinical studies.
Make timely and informed decisions on spirometry quality. Unleash the potential of spirometry AI to deliver reliable outcomes.
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.
Faster turn-around time to complete quality control (QC) and evaluation of spirometry endpoints.
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.
Reduced inter- and intra-rater variability when assessing spirometry quality.
Risk Based Monitoring is an important tool to optimize the efficiency in clinical research. It allows to focus your energy & resources on data sources (sites, patients, …) that require a closer follow-up, and provides insights in data quality patterns.
ArtiQ.RBM provides actionable Risk Based Monitoring reports, guiding you towards preventive and/or corrective actions specifically for spirometry. It can be applied to your clinical study based on the context & requirements. Contact us to find out more!
Find more validations and relevant scientific publications here
How can I use ArtiQ.QC?
I have a new study and I want to have real-time ArtiQ.QC over-reading…
ArtiQ.QC is integrated with multiple clinical trial platforms. Through these integrations, your spirometry data can be over-read instantly.
I have data from an ongoing / closed study, and I want to check the spirometry data quality…
ArtiQ.QC can retrospectively check your spirometry data quality. Contact us to find out how we can collaborate!
High-quality spirometry data is instrumental in respiratory research. ArtiQ.QC offers a reliable and complete evaluation of spirometry curves. The software can contribute to more successful respiratory clinical trials and increased reliability and enhanced validity of epidemiological studies where spirometry data is collected.
Dr. Sanja Stanojevic Epidemiologist,
Dalhousie University, Canada / Global Lung Function Initiative (GLI)
Through the Ai4SPIRO project, Chiesi and ArtiQ have proven that Artificial Intelligence can assess spirometry quality with high accuracy offering an alternative approach or assistance to over-reading. By providing immediate and consistent results, ArtiQ.QC may bring benefits to clinical trial conduct and reduce the variability in respiratory outcomes.
Clinical Digital Leader – Chiesi Group
Do you plan a project or study where spirometry is used? Request more information about ArtiQ.QC and our automatic assessment of spirometry quality!