Investigators found that an artificial intelligence (AI) algorithm can detect an abnormal heart rhythm in people not yet showing symptoms. The algorithm, which identified hidden signals in common ...
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Cardiac wall motion abnormalities (WMA) are strong predictors of mortality, but current screening methods using Q waves from electrocardiograms (ECGs) have limited accuracy and vary across racial and ...
Steven Poelzing (left) and Gregory Hoeker, researchers at the Fralin Biomedical Research Institute at VTC, collaborated on a new study published in the journal Heart Rhythm revealing why low blood ...
A new paper published by Stanford University researchers in the nature Journal confirms the utility of smart watches for identifying arrhythmias in children. Arrhythmia symptoms are frequent ...
The circadian clock is an evolutionarily conserved time-keeper that regulates physiological processes across 24 h. In the cardiovascular system, several parameters, such as blood pressure, heart rate, ...
Less than 1 percent of the population has been diagnosed with Long QT syndrome – a rare heart condition that can cause chaotic, sometimes fatal, heart rhythms. Now, Virginia Tech researchers at the ...
Investigators from the Smidt Heart Institute at Cedars-Sinai found that an artificial intelligence (AI) algorithm can detect an abnormal heart rhythm in people not yet showing symptoms. The algorithm, ...
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