Leila Lukhumaidze

Aug 26, 2024 | academicradiology.org | Leila Lukhumaidze |Toronto Metropolitan |James Hogg |Jean Bourbeau |Miranda Kirby

The structural lung features that characterize individuals with preserved ratio impaired spirometry (PRISm) that remain stable overtime are unknown. The objective of this study was to use machine learning models with computed tomography (CT) imaging to classify stable PRISm from stable controls and stable COPD and identify discriminative features.