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AI analyzes ECG to predict ventricular remodeling in patients with repaired tetralogy of Fallot
Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial ...
"This study demonstrates that AK-AVS could not only enable earlier detection of aortic stenosis, but it may also be a useful tool in surveillance and predicting outcomes," said Dr. David Shavelle, ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...
Please provide your email address to receive an email when new articles are posted on . An AI model accurately detected features of myocardial ischemia and coronary microvascular and vasomotor ...
An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...
The integration of artificial intelligence (AI) in the cardiovascular space, particularly in electrocardiography (ECG), is reshaping clinical workflows, enabling earlier disease detection and opening ...
Using artificial intelligence (AI) to analyze electrocardiograms (ECG) improved detection of severe heart attacks, including those that presented with unconventional symptoms, or atypical ECG patterns ...
An AI algorithm could help to predict which patients might develop significant heart problems years in advance, just based on ECG readings. In a study, published today in The European Heart Journal, ...
A Vietnamese doctor and his colleague check X-rays of a drug-resistant tuberculosis patient at the National Lung Hospital in Hanoi - Copyright AFP Brendan SMIALOWSKI ...
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