DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Implementing an Electrocardiogram Suite in the Emergency Department to Decrease Door-to-EKG Time ...
Professor Ibrahim Adeola Katibi, a renowned cardiologist, teaches at the University of Ilorin in Kwara State. He is a former ...
Abstract: The performance of deep learning methods is dependent on the quality and quantity of the available training data, in particular for physiological time series data which is scarce and noisy.
Abstract: This paper develops a novel deep learning-based framework for real-time ECG classification while minimizing energy consumption. It proposes the use of gated recurrent units (GRUs) for robust ...
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 ...
We might earn a commission if you make a purchase through one of the links. The McClatchy Commerce Content team, which is independent from our newsroom, oversees this content. This article has ...
SAN FRANCISCO, CA—Artificial intelligence-based ECG interpretation (AI-ECG) outperformed standard decision-making when it came to detecting angiographically confirmed STEMI across three primary PCI ...
ECG Digitiser is the state-of-the-art solution for converting ECG printouts into digital signals, enabling effective data extraction from legacy medical records. Our method combines the Hough ...
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