Explore the latest advancements in heart screening with AI models that enhance ECG interpretation for better patient outcomes ...

Migrating animals have for a long time been tracked by recapturing tagged individuals. More recently, radio-telemetry, which requires an observer to physically follow the tagged animal, has been used.

Machine-learning models that incorporate common clinical features along with ECG findings may help identify patients who are likely to have coronary artery calcium (CAC), with potential implications ...

Editor’s Note: This article originally appeared on ECG’s website. The ECG team is a preferred vendor in the MassHealth TA program. Learn more about our participation in the program, including the ...

Inappropriate utilization of cardiac telemetry is wasteful spending with no significant clinical benefit. Eliminating inappropriate use of cardiac telemetry can generate significant cost savings for ...

AI-enhanced echocardiograms, like EchoNext, outperform cardiologists in detecting structural heart disease with higher accuracy and speed. EchoNext was trained on over 1.2 million ECG-echocardiogram ...

Enlarge Source: Learn the Heart Which of the following does the above ECG represent? The ECG shows sinus tachycardia at about 110 beats per minute with a prolonged PR of 0.22 seconds: first-degree ...

Extracting the foetal signal from the mother’s abdominal electrocardiogram is a crucial step for monitoring the health of the unborn child. (Courtesy: iStock/iTie) Researchers in Iran have used a deep ...

The ECG shows an irregularly irregular rapid ventricular rate, approximately 120 beats per minute, with no visible P waves. The frontal plane QRS axis is –30° and the R wave voltage in AVL is 15 mV.