artiq-pft

This study with 19 pulmonologists and 60 retrospective cases shows an improvement in diagnostic accuracy of the primary diagnosis from 44% to 63%.

by Yuri Van Havere Oct 5, 2022

This study where 78 pulmonologists collaborated with ArtiQ.PFT on 24 PFT cases shows an increase in diagnostic accuracy of up to 10%.

by Yuri Van Havere Sep 15, 2022

ArtiQ.PFT detected ILD in 27% of subjects, 3.8±2.1 years prior to ILD diagnosis through standard care.

by Yuri Van Havere Sep 15, 2022

This study where 16 pulmonologists collaborated with ArtiQ.PFT on 24 PFT cases shows an increase in diagnostic accuracy of up to 20%.

by Yuri Van Havere Jun 5, 2022

AI detect respiratory diseases even when PFTs did not include plethysmography data.

by Yuri Van Havere Sep 2, 2021

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.

by Yuri Van Havere Sep 24, 2020

ArtiQ, a KU Leuven spin-off company which helps doctors diagnose, treat and monitor respiratory problems, announces that it has successfully concluded its seed financing round, raising € 1 million euro. The financing will be used to launch ArtiQ|PFT, a decision support tool that offers pulmonologists a fast, reliable and standardized evaluation of a patient’s lung function.

by Yuri Van Havere Jun 18, 2019

A study investigating locally interpretable model-agnostic explanation (LIME) to explain the predictions of ArtiQ.PFT's diagnostic probability.

by Yuri Van Havere Mar 8, 2019

The ArtiQ.PFT software perfectly matched the PFT pattern interpretations (100%) and assigned a correct diagnosis in 82% of all 1500 cases.

by Yuri Van Havere Feb 14, 2019