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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.

Explore our peer-reviewed ArtiQ.PFT publications and conference results.
ERJ Publication


Explaining predictions of an automated pulmonary function test interpretation algorithm

ERJ Publication


Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests

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


Deep learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria