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.
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-lead ECG machines ...
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) ...
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 ...
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