Menu
Currency
GWAS Study

Deep learning-enabled analysis of medical images identifies cardiac sphericity as an early marker of cardiomyopathy and related outcomes.

Vukadinovic M, Kwan AC, Yuan V et al.

36996817 PubMed ID
GWAS Study Type
22528 Participants
40 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

VM
Vukadinovic M
KA
Kwan AC
YV
Yuan V
SM
Salerno M
LD
Lee DC
AC
Albert CM
CS
Cheng S
LD
Li D
OD
Ouyang D
CS
Clarke SL
Chapter II

Abstract

Summary of the research findings

Quantification of chamber size and systolic function is a fundamental component of cardiac imaging. However, the human heart is a complex structure with significant uncharacterized phenotypic variation beyond traditional metrics of size and function. Examining variation in cardiac shape can add to our ability to understand cardiovascular risk and pathophysiology.

22,528 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

22528
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

AI Summary In Progress

Our AI-generated summary of this publication is being prepared. Please check back soon.