AI Tool Estimates Right Heart Ventricle Size
A deep learning tool called DROID-RV reads echocardiograms to measure right ventricle size and function, with predictions linked to heart failure, atrial fibrillation and mortality risk.
Updated on Nov. 1, 2026 in Heart Disease
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Researchers from Mass General Brigham Heart and Vascular Institute and the Broad Institute of MIT developed DROID-RV, a deep learning AI tool that estimates right ventricle size and function from echocardiograms. The study findings were published in October in Nature Cardiovascular Research.
Why it matters
The right ventricle is harder to assess than the left, and automated measurement could speed echocardiogram review and flag patients who need further testing. Its predictions were associated with heart failure, atrial fibrillation and mortality risk, pointing to potential use in cardiac screening across Massachusetts health systems.
The study reports an average estimation error of about 3 millimeters in right ventricular diameter. The source does not indicate how this accuracy compares with current manual measurement methods in everyday practice.
The players
Mass General Brigham Heart and Vascular Institute
A cardiovascular research and clinical institute affiliated with the Mass General Brigham health system in Massachusetts, known for heart and vascular care and research.
Broad Institute of MIT
A biomedical and genomic research center in Cambridge, Massachusetts, jointly affiliated with MIT and Harvard, known for computational biology and data science work.
The details
DROID-RV was tested to estimate right ventricle size and systolic function, and it identifies reduced right ventricular systolic function. The tool provides preliminary measurements and flags abnormal echocardiograms for closer review.
Timeline
October 2026: Study findings published in Nature Cardiovascular Research.
Big Picture
DROID-RV extends the conventional echocardiogram workflow by automating right ventricle measurement, a chamber that is harder to assess than the left. Automating this step could change how cardiologists triage echocardiograms in clinical practice.
If adopted, automated right ventricle measurement could help clinicians flag abnormal echocardiograms faster and identify patients who need additional MRI testing. The tool is described as preliminary and its direct effect on individual patient care is not yet established.
The takeaway
Automated heart imaging tools may help clinicians identify concerning right ventricle changes earlier, though their real-world role still needs validation beyond the study.
Further reading
Explore more on Heart Disease in Massachusetts.
Source note: This article includes information reported by Medicalnewstoday.
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