Validated technology for Respiratory Diagnostics and Clinical Research
ArtiQ technology has been extensively validated and published in key journals. Discover the potential of respiratory AI in our whitepapers.
How can a normal lung function pattern still potentially hide asthma?
Asthma is a common, chronic disease that affects approximately 300 million people worldwide. It was noticed that ArtiQ.PFT often detected Asthma in patients having a normal lung function pattern according to the ERS/ATS 2021 Interpretation Guidelines and the GLI reference values, but why is that? The ArtiQ team did a study to try to better understand why ArtiQ.PFT detects asthma in these cases.
What is the Impact of the new 2021 ERS/ATS Interpretation Guidelines?
At the end of 2021 an international joint Task Force led by Sanja Stanojevic, appointed by the ERS/ATS with multidisciplinary expertise in conducting and interpreting PFTs and developing international standards released the new ERS/ATS Guidelines for the evaluation of pulmonary function tests (PFT).
Artificial Intelligence in Pulmonology: threat or opportunity?
Our world has changed drastically in the past decades with the advancement of new technologies. We have seen revolutions that can impact many different areas of our lives: self-driving cars became a reality, computers are beating world champions in chess, navigation apps show us the fastest route… All these technologies have one thing in common: artificial intelligence (AI).
Guestblog on how AI could outperform 120 pulmonologists in a PFT interpretation study.
Pulmonary function tests (PFTs) are a group of common medical tests that measure how well the lungs work. The tests usually refer to a combination of spirometry, body-plethysmography and diffusion capacity test.
ArtiQ.PFT supports pulmonologists with the diagnosis of lung diseases.
2022
This study with 19 pulmonologists and 60 retrospective cases shows an improvement in diagnostic accuracy of the primary diagnosis from 44% to 63%.
Pulmonologists and ArtiQ.PFT team up to improves the diagnostic interpretation of PFTs.
2022
This study where 78 pulmonologists collaborated with ArtiQ.PFT on 24 PFT cases shows an increase in diagnostic accuracy of up to 10%.
AI-powered (ArtiQ.PFT) spirometry for early detection of ILD.
2022
ArtiQ.PFT detected ILD in 27% of subjects, 3.8±2.1 years prior to ILD diagnosis through standard care.
ArtiQ.PFT, an example of the future Doctor and AI Teamwork.
2022
This study where 16 pulmonologists collaborated with ArtiQ.PFT on 24 PFT cases shows an increase in diagnostic accuracy of up to 20%.
ArtiQ.PFT supports diagnostic pathway with incomplete lung function
2021
AI detect respiratory diseases even when PFTs did not include plethysmography data.
AI in healthcare: are doctors still needed?
2020
Watch the presentation below to get an overview of the latest applications of AI in respiratory medicine and to learn how doctors and AI can work together as a complimentary team.
The reasoning behind ArtiQ.PFT’s diagnostic probability
2019
A study investigating locally interpretable model-agnostic explanation (LIME) to explain the predictions of ArtiQ.PFT’s diagnostic probability.
ArtiQ.PFT outperforms pulmonologists in the interpretation of PFT.
2019
The ArtiQ.PFT software perfectly matched the PFT pattern interpretations (100%) and assigned a correct diagnosis in 82% of all 1500 cases.
ArtiQ.QC supports the evalutation of the GLI 2012 reference values in China (abstract)
2022
Over-reading spirometry data from the Chinese population to improve data quality in GLI-research.
How objective are the ATS/ERS 2019 guidelines?
2022
How much do spirometry experts agree with each other… and with themselves?
ArtiQ.QC in real-world research
2021
Spirometry data from preschool children and healthy adults, evaluated by ArtiQ.QC.
ArtiQ.QC in clinical trials (Asthma & COPD) based on 2005 ATS/ERS guidelines (abstract)
2021
ArtiQ.QC over-reading & manual over-reading: are the results comparable? And with whom do experts agree more?
Impact on spirometry quality results when using 2005 or 2019 ATS/ERS guidelines.
2021
Learn more about the consequences of the ATS/ERS 2019 guidelines update.
ArtiQ.QC in clinical trials (COPD) based on 2005 ATS/ERS guidelines
2021
ArtiQ.QC over-reading & manual over-reading: are the results comparable? And with whom do experts agree more?
ArtiQ.QC for large epidemiological studies.
2021
Find out how AI can improve data quality in epidemiological studies.
Deep learning algorithm helps to standardize ATS/ERS spirometric acceptability and usability criteria
2020
ArtiQ.QC combines the visual experience of skilled technicians and ATS/ERS quantitative rules in automating the critical phase of spirometry quality control.
Automating the quality control process: ArtiQ.QC meets NHANES
2020
Neural Networks to standardize spirometric manoeuvre acceptability and usability.