Back to search

Article

Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes

2022-08-29

Abstract excerpt

<title>Abstract</title> <p>Artificial intelligence (AI)-based approaches can now use electrocardiograms (ECGs) to provide expert-level performance in detecting heart abnormalities and diagnosing disease. Additionally, patient age predicted from ECGs by AI models has shown great potential as a biomarker for cardiovascular age as recent work has found differences from chronological age ("delta age") to be associate...

Topics

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

Identifiers and source

Literature Corpus work
d05b10a1-bc6a-5821-8a8c-c5548b4d6322
DOI
10.21203/rs.3.rs-1735746/v1
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-derived cardiovascular age shares a genetic basis with other cardiac phenotypesDOI 10.21203/rs.3.rs-1735746/v1
Select a neighboring publication to make it the new centre.