Vanessa is a lead writer at CNET, reviewing and writing about the latest smartwatches and fitness trackers. She joined the brand first as an on-camera reporter for CNET's Spanish-language site, then ...
All over the world, cardiovascular problems are one of the leading causes of death. Across many communities, healthcare workers use electrocardiogram (ECG) sensors to monitor the heart of the patients ...
Artificial intelligence (AI)-guided screening for atrial fibrillation (AF) based on ECGs can successfully identify patients who are more likely to have the arrhythmia detected on subsequent monitoring ...
Enabling patients to conduct electrocardiogram (ECG) tests safely and efficiently at home using PCA 500, the only medical grade 12-lead Resting ECG approved by the FDA for patient use. Through the ...
Researchers have developed an AI tool that can help doctors predict who might develop a potentially fatal heart condition, just from an ECG. Subscribe to our newsletter for the latest sci-tech news ...
Thirty day electrocardiogram (ECG) monitoring in patients with hypertrophic cardiomyopathy (HCM) detects more arrhythmias than the standard 24 to 48 hours, according to late breaking science presented ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--HeartBeam, Inc. (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through the power of personalized insights, announced today that ...
An artificial intelligence algorithm for ECG interpretation (AI-ECG) is superior to conventional, guideline-recommended STEMI criteria for identifying patients with chest pain who have an occluded ...
AI-enabled ECG system significantly reduces hospital mortality rates by identifying at-risk patients
In a recent study published in the journal Nature Medicine, researchers evaluated the potential of artificial intelligence (AI)-enabled electrocardiogram (ECG) to identify hospitalized patients at ...
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