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.
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 ...
Schematic representation of the ECG-LM model, a multi-modal large language model for cardiovascular diagnostics. The model integrates ECG data with patient information, offering accurate and ...
KAI 12L, the AI powering Kardia 12L, adds five new detections to further expand diagnostic capabilities for the world's first handheld 12-lead ECG with a unique single-cable design. MOUNTAIN VIEW, ...
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 ...
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 ...
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