Whitepapers
Discover our expertise through our latest whitepapers
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.

ArtiQ.PFT
Explore our peer-reviewed ArtiQ.PFT publications and results presented at conferences.
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

ArtiQ.QC
Explore our ArtiQ.QC peer-reviewed publications and results presented at conferences.
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