Back to search

Article

Leveraging Deep Learning of Chest Radiograph Images to Identify Individuals at High Risk for Chronic Obstructive Pulmonary Disease

2024-11-15

Abstract excerpt

<h4>SUMMARY</h4> <h4>Background</h4> This study assessed whether deep learning applied to routine outpatient chest X-rays (CXRs) can identify individuals at high risk for incident chronic obstructive pulmonary disease (COPD). <h4>Methods</h4> Using cancer screening trial data, we previously developed a convolutional neural network (CXR-Lung-Risk) to predict lung-related mortality from a CXR image. In this study, w...

Topics

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

Identifiers and source

Literature Corpus work
c46e6ff6-cbbf-571f-954a-d88eb570b793
DOI
10.1101/2024.11.14.24317055
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.
Leveraging Deep Learning of Chest Radiograph Images to Identify Individuals at High Risk for Chronic Obstructive Pulmonary DiseaseDOI 10.1101/2024.11.14.24317055
Select a neighboring publication to make it the new centre.