ESC Congress 2026 Abstract
AI detects diastolic heart dysfunction on electrocardiograms
In an observational study of 21,385 hospital patients, an artificial intelligence model detected diastolic dysfunction from standard electrocardiograms with an overall…In an observational study of 21,385 hospital patients, an artificial intelligence model detected diastolic dysfunction from standard electrocardiograms with an overall accuracy of 0.827.
Cross-sectional · 21,385 peopleLeft ventricular diastolic dysfunction
Who was studied21,385 hospital patients
What changedAn artificial intelligence model detected diastolic dysfunction from standard electrocardiograms with an overall accuracy of 0.827
The catchOnly patients who received both tests were included, leaving out patients without echocardiograms