A round heart, or left ventricle sphericity, predicted cardiomyopathy and atrial fibrillation (AF) in a deep learning analysis of MRI images from close to 39,000 participants in the UK Biobank, a new ...
The conventional multivariate analysis of repeated measures is applicable in a wide variety of circumstances, in part, because assumptions regarding the pattern of covariances among the repeated ...
Please provide your email address to receive an email when new articles are posted on . An AI algorithm revealed heart roundness seen on cardiac MRI may predict risk for atrial fibrillation and heart ...
Machine learning identifies “heart roundness” as a new tool for diagnosing cardiovascular conditions
Physicians currently use assessments like heart chamber size and systolic function to diagnose and monitor cardiomyopathy and other related heart conditions. A paper publishing in the journal Med on ...
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