Smartwatches with both PPG and ECG functionality improve the detection of atrial fibrillation in comparison with standard ...

SGLang, which originated as an open source research project at Ion Stoica’s UC Berkeley lab, has raised capital from Accel.

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

Complex sugar-protein molecules that sense external messages to help a cell grow or respond to its environment can now be ...

AI offerings supporting scalable ECG analysis, visualization, and report generationCombination of single-lead wearable ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

The final, formatted version of the article will be published soon. Accurate and timely heart disease diagnosis through intelligent ECG signal processing is essential to reducing death rates and ...

Learn how ECG noise filtering that adapts to noise type improved QT and QRS accuracy and supports more reliable cardiac ...

Agreement positions NeuralCloud's AI-driven cardiac platform for Holter monitoring and ambulatory patient workflow. Partnership introduces CardioYield™ powered by MaxYield™ for automated, reliable ...

Agreement positions NeuralCloud's AI-driven cardiac platform for Holter monitoring and ambulatory patient workflow. Partnership introduces CardioYield powered by MaxYield for automated, reliable ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...