AliveCor, the global leader in AI-powered cardiology, today announced it has received U.S. Food and Drug Administration (FDA) clearance for the next generation of KAI 12L--the AI powering the Kardia ...
LOUISVILLE, Ky. (WDRB) -- UofL Health - Shelbyville Hospital continued their mission to transforming the health of the community by donating an EKG machine to Mercy Medical Clinic. The EKG machine, ...
Imagine going in for a routine pre-operative EKG in which the medical professional is simply making sure all is well before surgery. The machine indicates you’ve had a massive heart attack on the ...
The government approved the first pocket-sized EKG machine Tuesday, so small that it promises easier, faster heart measurements in ambulances, the emergency room _ even a possible heart attack ...
An electrocardiogram (ECG) is a common physiological monitoring device used in medicine. However, conventional ECGs must be operated by medical professionals and are monotonous and time-consuming to ...
Enabling patients to conduct electrocardiogram (ECG) tests safely and efficiently at home using PCA 500, the only medical grade 12-lead Resting ECG approved by the FDA for patient use. Through the ...
AliveCor has spent years battling with Apple over the market for consumer heart monitoring technology. Now it’s hoping to make its imprint on professional health care with its new device, which ...
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 ...
Research shows that a newly-developed wireless EKG patch is as accurate, if not more accurate, than results from traditional EKG machines. The device is known as the EKG Patch Solution. Worldwide, ...
New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy
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.
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