Researchers developed DROID-RV, a deep learning tool that automates right ventricular assessment from echocardiograms, showing strong prognostic links with cardiovascular outcomes.
Key Details
- 1DROID-RV was trained on over 380,000 echocardiogram videos from 17,000+ patients.
- 2Model performance was validated in ~9,100 primary care and 831 external patients.
- 3Predicted RV size/function from DROID-RV was associated with heart failure, atrial fibrillation, and mortality, even beyond traditional assessments.
- 4Patients with predicted RV dilation were twice as likely to die within five years compared to those with normal RV size.
- 5The model estimates RV diameter within ~3 mm and flags reduced RV function with high accuracy.
Why It Matters
Automated AI tools like DROID-RV can improve efficiency, consistency, and prognostic value in echocardiographic interpretation, particularly where expert readers or advanced imaging resources are scarce. The findings suggest that AI-based assessments may uncover prognostic information beyond standard clinical measurements, potentially enhancing cardiac risk stratification.
Source
EurekAlert
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