This is an observational, comparative, multicentre study to develop a model for the Thora3Diâ„¢ against standard practice in patients who are undergoing investigation for COPD. The core methodology involves capturing of data during a short period of measurement of breathing using SLP against spirometric outcomes.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
To develop a machine learning model to use SLP data in patients diagnosed with COPD or healthy smokers to predict historical spirometry results (within 6 months) or prospective spirometry results, and classify subjects according to COPD/non-COPD.
Timeframe: 2 years