Revolutionizing Heart Disease Detection: AI Tool EchoNext Achieves 77% Accuracy
Researchers from Columbia University and NewYork-Presbyterian have developed a groundbreaking artificial intelligence tool, EchoNext. This innovative tool can identify patients at risk of having undiagnosed structural heart disease with remarkable accuracy.
The AI system, trained on over 1.2 million electrocardiogram and echocardiogram data pairs from 230,000 patients, has shown promising results. It accurately identified 77% of structural heart problems in 3,200 electrocardiograms. This is a significant improvement over the 64% accuracy rate of 13 cardiologists analyzing the same data.
Published in the esteemed Nature journal, this breakthrough could revolutionize heart disease screening. The method involves using inexpensive ECG tests to determine which patients need more costly ultrasound follow-ups.
“EchoNext basically uses the cheaper test to figure out who needs the more expensive ultrasound,” explains Dr. Pierre Elias, who led the study. “It detects diseases cardiologists can’t from an ECG. We believe that ECG plus AI has the potential to create an entirely new screening paradigm.”
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