Bringing the power of Artificial Intelligence to Respiratory Medicine
ArtiQ empowers medical professionals with artificial intelligence to accurately and timely diagnose, treat and follow-up patients with lung diseases.
For Medical Doctors
AI supported interpretation of pulmonary function tests for a faster, easier and more accurate diagnostic process.I’m a doctor
For Pharmaceutical Companies
Immediate and reliable AI quality assessment of spirometry data. Discover ArtiQ.QC for clinical trials, epidemiological studies and beyond.I work in clinical research
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 develop software solutions that leverage the power of AI to support PFT interpretation and automate assessment of spirometry quality.Discover ArtiQ.PFT Discover ArtiQ.QC
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.
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.
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