Real-world data presented at HRS 2026 add to the body of evidence supporting a shift away from short-duration Holter monitoring toward up to 14 ...
Rhythm (Nasdaq:IRTC) today announced findings from two real-world analyses supporting its long-term heart monitoring ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
8don MSN
A new skin-hugging heart monitor material could make long-term ECG tracking far more comfortable
Researchers have created heart monitoring sensors that conform to the skin, are comfortable, and can be worn while people are ...
Please provide your email address to receive an email when new articles are posted on . Abnormal ECG findings were rare in elite female basketball players. These data may serve as a reference for ...
DALLAS, Jan. 30, 2025 — Electrocardiogram tests may someday be used with an artificial intelligence (AI) model to detect premature aging and cognitive decline, according to a preliminary study to be ...
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 ...
HeartBeam has received FDA clearance for its synthesized 12-lead ECG software, making it the first cable-free device of its kind for at-home arrhythmia assessment. The clearance followed a successful ...
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.
An artificial intelligence (AI) model designed to predict a person's biological age (age of body cells and tissues) based on electrocardiogram (ECG) data found a strong association between ECG-age and ...
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