Abstract: The imbalance of ECG signal data and the complexity of labeling pose significant challenges for deep learning-based anomaly detection. Traditional contrastive learning approaches for ECG ...
ABSTRACT: The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of ...
An artificial intelligence (AI) algorithm has shown it is able to distinguish between healthy White and Black people using only their ECG readings. However, this finding only held true in adults with ...
Our AI honorees include people who steer model development at Silicon Valley’s biggest tech firms and academic researchers who develop new techniques to improve AI’s performance. He opens up AI models ...
MADRID, Spain—The use of a noninvasive ECG patch modestly increases the detection of atrial fibrillation (AF) and treatment with anticoagulant therapy among patients at moderate to high risk for ...
In a recent study published in the journal Nature, a group of researchers investigated whether an artificial intelligence (AI) electrocardiogram (ECG) model can reliably detect diverse structural ...
ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
Abstract: One potential use of autoencoders in healthcare is the identification of anomalies in electrocardiogram (ECG) readings. The primary objective of this research is to design a reliable system ...
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