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.
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...
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 ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead ...
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 ...
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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