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The AI analysis resulted in 14 times fewer missed diagnoses of conditions like complete heart block, ventricular tachycardia, ...
Several parameters of the surface electrocardiogram (ECG) have been analyzed in previous works to predict AF termination by CA ... signal contributions from multiple leads are then combined by ...
Outcomes in the observational study were better among patients treated by surgeons who regularly do ablations.
An AFib medical device tested by Novant Health is now helping patients with the disease get off medication. Eva Ingram ...
Machine learning (ML) for personalised care, large language models for empathy training of cardiologists, wearable sensor ...
BACKGROUND: Penetrance and risk of ventricular arrhythmias (VAs) in arrhythmogenic right ventricular cardiomyopathy (ARVC) are increasingly recognized as being genotype specific. Therefore, ...
I discovered 11 hidden Apple Watch and AirPods features to track my health – you should use them too
If you have been diagnosed with atrial fibrillation, you can set up a feature within the Apple Health app that will allow a ...
From identifying patients at-risk of developing heart conditions to improving diagnostic accuracy and mapping digital heart twins, cardiologists are increasingly developing innovative ways to harness ...
Two major UK cardiology trials are falling behind recruitment targets, prompting changes to entry criteria and calls for ...
There is a common misconception among many young people (under 50), particularly those who are not overweight and who ...
Discover NIT Rourkela's 2025 innovations: solar water purification, cardiac care advancements, and sustainable food packaging solutions.
However, a comprehensive evaluation of electromechanical models at cellular, tissue, and organ level has yet to be performed that addresses both ECG and pressure-volume biomarkers ... and the passive ...
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