How AI-powered quantitative analysis of CT images is redefining bronchiectasis trials and personalized approach to treatment.
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.
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