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.
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 ...
Medical equipment and diagnostics have become an important factor in healthcare. It has become essential to identify diseases accurately and without error for p ...
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 ...
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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