AI-ECG Models Show Promise for Detecting Structural Heart Disease and Predicting Risk
By
Todd Neale
1h ago· 5 min readenNews
Summary
AI-enabled ECG (AI-ECG) models that detect systolic and diastolic dysfunction can identify patients with structural heart disease (SHD) who need echocardiography. Patients with positive findings were 2.75 to 3.75 times more likely to develop new-onset SHD over 6 years of follow-up. The tools show promise for addressing underdiagnosis of SHD, though screening performance still needs improvement.
Source
bskyAI-ECG Models Show Promise for Detecting Structural Heart Disease and Predicting Risktctmd.comKey quotes
· 2 pulledThe tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.
Individuals with positive findings based on these models were 2.75- to 3.75-fold more likely to develop new-onset SHD through 6 years of follow-up
The tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.
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