MINNEAPOLIS, May 7, 2020 /PRNewswire/ -- Preventice Solutions announced the publication of real-world data further validating BeatLogic ® deep learning models designed to detect and classify multiple ...

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 ...

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 ...

This ECG shows normal sinus rhythm. There are small narrow Q waves in II-III-AVF that do not fulfill the criteria for “pathologic” Q waves (> 0.2 second or > 5 mV). The QTc (Fridericia’s formula) is ...

A study was conducted to examine the predictive performance of an AI ECG algorithm for identifying occlusive myocardial infarction.

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 ...

Deep learning (DL) has achieved promising performance in detecting common abnormalities from the 12-lead electrocardiogram (ECG). However, diagnostic redundancy exists in the 12-lead ECG, which could ...

In a recent article published in Npj Digital Medicine, researchers utilized electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.

An artificial intelligence (AI) deep-learning algorithm interpreting preoperative ECGs can identify risk for postoperative death in those undergoing cardiac surgery, noncardiac surgery, and ...