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.
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 ...
In a recently published study in the journal Nature Medicine, researchers developed and tested an intelligent model for diagnosing patients with occlusion myocardial infarction (OMI). This model was ...
Beginning in February, Kern County will become the first in the state to equip all EMS providers with handheld, AI-enabled 12 ...
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 ...
Dr. Albert Fossier purchased this EKG machine for use at the Hotel Dieu Hospital in New Orleans. The “G. Boulitte” inscription refers to an instrument maker in Paris who, as successor to Ch. Verdin ...
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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