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.
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.
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
ERJ Publication
2020
Deep learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria