ECG-AI LEF is now available in the U.S. To learn more about how the algorithm can help clinicians identify LEF earlier and schedule a demo, visit us at ECG-AI LEF. About Anumana ...

A new algorithm can effectively detect patients with a dangerous heart dysfunction using ECG data gathered by an Apple Watch. A large trial is now currently underway looking to test the clinical ...

Also, “an ECG can yield a far richer information spectrum about coexisting cardiovascular conditions, and therefore, simultaneously act as a first-level screen for the overall cardiovascular health as ...

Key takeaways: Algorithms to improve ECG interpretability received FDA clearance. The solution is designed to reduce noise contamination for ambulatory ECG monitoring. B-Secur announced the FDA ...

The Mayo Clinic came up a few years ago with an algorithm to interpret a regular 12-lead ECG and search for early signs of a weak heart pump. The US Food and Drug Administration (FDA) awarded the ...

They provide critical information about various aspects of heart function, such as rhythm, electrical conduction and structure. We developed an AI algorithm, called a “convolutional neural network,” ...

The external validation analysis showed the algorithm discriminated postoperative mortality with AUCs of 0.75 (95% CI, 0.74-0.76) in the SHC and 0.79 (95% CI, 0.75-0.83) in the CUMC cohort, with ...

Patients tagged by the AI-ECG algorithm as high versus low risk were much more likely to have an AF episode lasting at least 30 seconds identified on subsequent ambulatory monitoring (7.6% vs 1.6%; OR ...

The model is based on data collected from more than 2 million ECGs from more than 1.5 million patients who received care in Brazil from 2010 to 2017. One in six patients was diagnosed with rhythm ...

After showing that both algorithms accurately detected HCM in clinical trial data without additional training, they then showed that AI-ECG HCM scores correlated longitudinally with disease status as ...