Une technologie validée pour le diagnostic respiratoire et la recherche clinique
La technologie ArtiQ a été largement validée et publiée dans des journaux clés. Découvrez le potentiel de l’IA respiratoire dans nos livres blancs.
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.
Deep learning algorithm helps to standardize ATS/ERS spirometric acceptability and usability criteria
We are pleased that a study about our artificial intelligence-based software for quality control of spirometry was published in the renowned European Respiratory Journal. Manual spirometry over-reading is time consuming and leads to inter-operator variability. The proposed approach standardizes visual inspection according ATS/ERS quality control criteria.
OGP 2022 Poster
2022
ArtiQ.PFT: AI-powered decision support for the diagnosis of lung diseases: does it help the pulmonologist to be more accurate?
ERS 2022 Poster
2022
Pulmonologists collaborate with explainable artificial intelligence for improved diagnostic interpretation of pulmonary function tests.
ERS 2022 Poster
2022
Early detection of interstitial lung disease using artificial intelligence powered spirometry.
Radar EmP 2022
2022
Doctor-AI Teamwork is the Future: an Example from Respiratory Medicine.
ERS 2021 Poster
2021
Can AI help in detecting respiratory diseases with incomplete lung function data?
ERJ Publication
2019
Explaining predictions of an automated pulmonary function test interpretation algorithm
ERJ Publication
2019
Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests
ERS 2022 Poster
2022
Evaluation of the Global Lung Initiative 2012 Reference Values for Spirometry in China：a national cross-sectional study.
ERS 2022 Poster
2022
A tool to facilitate spirometry quality control assessment using 2019 standards.
ERS 2021 Presentation Abstract
2021
Real-world application of Spirometry Quality Control Deep-Learning Algorithm
ERS 2021 Poster
2021
ArtIQ.QC facilitates spirometry quality control in asthma and COPD clinical trials
ERS 2021 Poster
2021
Impact on spirometry quality results when using 2005 or 2019 ATS/ERS guidelines
ATS 2021 Presentation Abstract
2021
Artificial Intelligence Assists in Quality Assessment of Spirometry in Clinical Trials
ARTP 2021 Poster
2021
AI-based quality control of spirometry in large epidemiological studies: insights from UK Biobank
ERJ Publication
2020
Deep learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria