Lung volume consistency in CT image acquisition across timepoints is one of the fundamental factors to optimize sensitivity and accuracy of AI-based measurements in imaging-based respiratory clinical trials.

Fully automatic image analysis systems enabled by artificial intelligence can now measure the dimensions of almost all airways and blood vessels on a CT scan, with great precision and accuracy.

How can automatic detection of mucus plugs combined with a quantitative assessment of wall thickening provide a full picture of mucus impaction?

This month, Thirona celebrates the 10-year anniversary.

Airway analysis automated with AI

Interview on imaging-based biomarkers in vascular lung diseases.