Automated interpretation of pulmonary function tests

A fast, reliable, and standardized evaluation of a patient’s lung function and accurate diagnosis


AI-based software that automatically processes pulmonary function test (PFT) data and generates a clinical report.

We provide cloud-based coupling and synchronization with either electronic patient records or directly with PFT machines. The AI report is stored in the patient file immediately.


Automated report

Based on PFT data (spirometry, airways resistance, lung volumes, and diffusion capacity) and patient characteristics (age, pack-years, sex, and body mass index), an automated report will be generated. Each report contains three key components:

  • 1. PFT protocoling: automated interpretation of the lung function according to international guidelines. It describes the patterns of abnormalities and signs of physiological dysfunctions.
  • 2. Disease probabilities: the core intelligence of the software gives probabilities of disease presence to help to reach the final correct diagnosis.
  • 3. Recommended further steps: recommendations for the appropriate next steps that should be taken with the patient. These recommendations serve for diagnostic optimization and guidance.

Accurate decision support

  • high diagnostic accuracy
  • pulmonary expertise for 9 lung conditions
  • provides a second opinion quickly

Time and cost savings

  • standardized and unbiased interpretation
  • no time lost on protocoling
  • immediate interpretation

Diagnostic optimization

  • fully detailed report
  • reduction of redundant tests
  • reduced time to diagnosis
  • recommendations for further actions


I am convinced that this program is of utmost importance for the interpretation of pulmonary function in clinical practice as it gives a percentage value for different possible pathologies. It is better than the standard quick look of the pulmonologist and may save time.
Prof. Dr. Geert Verleden
Head of the department of Respiratory Diseases, University Hospital Leuven


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