Artificial intelligence (AI)-based echocardiogram (ECG) analysis significantly improved STEMI detection, reduced false activations and enhanced recognition of nonconventional presentations, according ...
The broader U.S. equity markets witnessed a topsy-turvy ride over the past few days as gains by some blue-chip tech companies were more than offset by concerns regarding the increasing valuation of AI ...
T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...
This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...
├── src/ # Source code modules │ ├── lstm_model.py # LSTM implementation with PyTorch │ ├── forecasting_models.py # ARIMA, Prophet, and statistical models │ ├── anomaly_detection.py # Anomaly ...
The study was published in JACC: Cardiovascular Interventions and simultaneously presented at TCT 2025 in San Francisco. ST-segment elevation myocardial infarction (STEMI) is a severe type of heart ...
Please provide your email address to receive an email when new articles are posted on . An AI-based ECG model more accurately diagnosed a type of heart attack compared with standard of care. The ...
ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...
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