Back to search

Article

Deep Learning Estimation of Small Airways Disease from Inspiratory Chest CT is Associated with FEV<sub>1</sub>Decline in COPD

2024-09-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Rationale</h4> Quantifying functional small airways disease (fSAD) requires additional expiratory computed tomography (CT) scan, limiting clinical applicability. Artificial intelligence (AI) could enable fSAD quantification from chest CT scan at total lung capacity (TLC) alone (fSAD TLC ). <h4>Objectives</h4> To evaluate an AI model for estimating fSAD TLC and study its clinical associations...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
41e84dd0-d3df-5c70-926f-3b415c31c6a0
DOI
10.1101/2024.09.10.24313079
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep Learning Estimation of Small Airways Disease from Inspiratory Chest CT is Associated with FEV<sub>1</sub>Decline in COPDDOI 10.1101/2024.09.10.24313079
Select a neighboring publication to make it the new centre.