For Medical Doctors

AI supported interpretation of pulmonary function tests for a faster, easier and more accurate diagnostic process.

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ArtiQ’s Clinical Research portfolio leads to high-quality research data and efficient clinical trial workflows.

Instant AI-based over-reading for spirometry Risk based Monitoring to safe future data
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Get the most out of your lung function data

Spirometry and other pulmonary function tests provide invaluable information about the lungs. However, there are also challenges in ensuring high-quality data and making a complete interpretation. ArtiQ develops software solutions that leverage the power of AI to support PFT interpretation and automate the assessment of spirometry quality.

Learn more about ArtiQ.PFT for interpretation support.

Discover ArtiQ.PFT

Learn more about ArtiQ.QC for automated spirometry quality assessment.

Discover ArtiQ.QC
Proven results

The ArtiQ technologies are profoundly tested and validated. These validations are published in key scientific journals and presented at international scientific and medical conferences. Get an overview of our scientific work and other relevant literature here.

Furthermore, ArtiQ is ISO 13585 certified and the ArtiQ.PFT solution is CE marked by an independent notified body according to the latest standards and medical device regulations.

Testimonials

I am convinced that ArtiQ.PFT is of utmost importance for the interpretation of pulmonary function in clinical practice as it gives a percentage value for different possible pathologies. It is better than the standard quick look of the pulmonologist and may save time.

Prof. Dr. Geert Verleden

Head of the Department of Respiratory Diseases, University Hospital Leuven

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.

Isabella Montagna

Clinical Digital Leader – Chiesi Group

PFTs provide extensive numerical outputs, and their patterns need to be interpreted within a clinical context to come to a diagnosis. ArtiQ.PFT serves as a second opinion for us. The software is particularly helpful in recognizing rare but specific patterns.

Prof. Dr. Wim Janssens Adjunct Head

of Department of Respiratory Diseases, University Hospital Leuven