Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
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.
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 ...
Starting in February, Kern County will be the first county in California to deploy new AI-powered electrocardiogram machines to more quickly detect heart attacks in patients in the field. Kern County ...
CHICAGO--(BUSINESS WIRE)--Tempus AI, Inc. (NASDAQ: TEM), a technology company leading the adoption of AI to advance precision medicine and patient care, today announced the impact of a new decision by ...
A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients, could ...
SPOKANE, Wash. — Spokane Humane Society (SHS) has received a medical equipment grant from the Banfield Foundation to help them purchase a EKG machine for their on-site clinic. Banfield Foundation ...
Sudden cardiac events (SCEs) are the leading cause of line-of-duty deaths (LODDs) among firefighters in the United States, so it is obvious why there is such an appeal for electrocardiogram (ECG) ...
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