Artificial intelligence (AI) can detect signs of existing or emerging A-fib in ECGs that exhibit normal sinus rhythm, Mayo Clinic researchers have found. Their retrospective analysis, published online ...

The ECG ruling out ACS should have made the team exclaim, "We may be dealing with an acute aortic dissection!" rather than feeling reassured.

A woman in her early 40s, diabetic, presented with severe right-sided chest pain radiating to her right hand of 2 hours’ duration. She did not have history of any previous episodes of chest pain, ...

This document will assist physicians in identifying normal ECG patterns commonly found in athletes. The ECG findings presented as normal in athletes were established by an international consensus ...

The diagnosis is normal sinus rhythm, atrial bigeminy, first-degree atrioventricular (AV) block (prolonged AV conduction), and right bundle branch block (RBBB).

And, indeed, the 30,759 normal-EKG patients were 41 percent less likely to die while hospitalized than the 222,875 with abnormal EKGs. Still, 1,752 in the normal-EKG group died, nearly 6 percent.

Background Interpretation of the athlete’s ECG is based on differentiation between benign ECG changes and potentially pathological abnormalities. The aim of the study was to compare the 2010 European ...

An asymptomatic male patient with definite LQTS with a normal ECG and QTc who was flagged by the AI. Photo Credit: J. Martijn Bos and Michael Ackerman. A new artificial intelligence (AI) solution ...

Investigators developed an AI-enabled electrocardiograph (ECG) that used a convolutional neural network to detect electrocardiographic signature of atrial fibrillation during a normal sinus rhythm ...