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.
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 ...
AliveCor has spent years battling with Apple over the market for consumer heart monitoring technology. Now it’s hoping to make its imprint on professional health care with its new device, which ...
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 ...
Surat-based Scanbo has developed an AI-led medical device, D8, that can give a quick interpretation of abnormalities behind the functioning of a heart, critical in times of emergency situations.
Southlake, TX, June 11, 2026 (GLOBE NEWSWIRE) -- HeartSciences Inc. (Nasdaq: HSCS; HSCSW) ("HeartSciences" or the "Company"), a healthcare information technology ...
– AliveCor, the global leader in AI-powered cardiology, today announced that the American Medical Association (AMA) has granted new Category III Current Procedural Terminology (CPT) codes that are ...
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