An innovative new way to analyze electrocardiogram (ECG) results using artificial intelligence may help doctors quickly and cheaply identify patients most at risk of heart failure. A new study from ...
BOSTON, MA — A new study has shed light on which low-risk patients who have inconclusive exercise ECG tests might safely avoid additional downstream imaging tests to detect potential CAD [1]. Patients ...
The lead-I electrocardiogram (ECG) devices were assessed when they were used in addition to 12‑lead ECGs. Clinical experts advised that a 12‑lead ECG would still be used after lead-I ECGs to identify ...
An electrocardiogram (ECG) is a tool used to measure the heartbeat using an electrical current. By following the current from 10 electrodes placed around the body, a traditional 12-lead ECG can give a ...
An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...
SAN FRANCISCO, CA—Artificial intelligence-based ECG interpretation (AI-ECG) outperformed standard decision-making when it came to detecting angiographically confirmed STEMI across three primary PCI ...
A new algorithm developed by researchers at the Mayo Clinic can effectively detect patients with a dangerous heart dysfunction using data gathered by an Apple Watch. A large trial is now underway ...
Issuance of new reimbursement-related codes expected to accelerate the use and adoption of ECG-based cardiac dysfunction AI algorithms, including HeartSciences’ MyoVista SOUTHLAKE, Texas, Oct. 19, ...
An electrocardiogram (ECG) is a common heart health test, but a normal result doesn't guarantee a healthy heart. The electrical system is measured by ECG, but it cannot detect blockages or structural ...
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