Article

Assessment of valvular function in over 47,000 people using deep learning-based flow measurements

2023-05-01

Abstract excerpt

Valvular heart disease is associated with a high global burden of disease. Even mild aortic stenosis confers increased morbidity and mortality, prompting interest in understanding normal variation in valvular function at scale. We developed a deep learning model to study velocity-encoded magnetic resonance imaging in 47,223 UK Biobank participants. We calculated eight traits, including peak velocity, mean gradient...

Topics

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

Identifiers and source

Literature Corpus work: ad8a07c8-e6cc-5123-8393-f7d46d543c43
DOI: 10.1101/2023.04.29.23289299

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Assessment of valvular function in over 47,000 people using deep learning-based flow measurementsDOI 10.1101/2023.04.29.23289299Read

Multitrait analyses identify genetic variants associated with aortic valve function and aortic stenosis risk.Semantic proximity Read

Genetic architecture of cardiac dynamic flow volumesSemantic proximity Read

Genetic architecture of cardiac dynamic flow volumesSemantic proximity Read

The Genetic Determinants of Aortic DistensionSemantic proximity Read

Association Between Aortic Imaging Features and Impaired Glucose Metabolism: A Deep Learning Population Phenotyping Approach.Semantic proximity Read

Deep learning enables genetic analysis of the human thoracic aortaSemantic proximity Read

Digital phenotyping of aortic stenosis-related remodeling reveals complementary structural, electrical, and hemodynamic signaturesSemantic proximity Read

Cardiac imaging of aortic valve area from 26,142 UK Biobank participants reveal novel genetic associations and shared genetic comorbidity with multiple disease phenotypesSemantic proximity Read

A population-based phenome-wide association study of cardiac and aortic structure and function.Semantic proximity Read

Plasma proteomic architecture of incident valvular heart disease in the UK Biobank: discovery, genetic prioritization, and exploratory risk discriminationSemantic proximity Read

Automated Phenotyping of Mitral Stenosis Using Deep LearningSemantic proximity Read

Using Machine Learning to Elucidate the Spatial and Genetic Complexity of the Ascending AortaSemantic proximity Read