What really happens after you hit enter on that AI prompt? WSJ’s Joanna Stern heads inside a data center to trace the journey and then grills up some steaks to show just how much energy it takes to ...
Abstract: Automatic analysis methods of electrocardiograms (ECGs) usually required large-scale annotated training data, but the annotation process is extremely time-consuming. While semi-supervised ...
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Long QT syndrome is a leading cause of sudden death in young persons, with a prevalence exceeding 1 in 2000. It is characterized by prolongation of the QT interval, aberrant T-wave morphologic ...
Valve has finally added a new quality of life feature to Steam Deck handhelds that many users have been begging to get for years. Since the Steam Deck hit the scene back in 2022, Valve has slowly been ...
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 ...
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 ...
Nichols' execution is scheduled for Dec. 11. He is hoping to get records related to lethal injection in Tennessee. Harold Wayne Nichols, who has two weeks to decide how the state will kill him, is ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Abstract: Automated electrocardiogram (ECG) classification tasks play a crucial role in clinical but face challenges due to the scarcity of accessible and well-labeled data. ECG data augmentation is ...
In a study of patients with cutaneous sarcoidosis, ECG abnormalities identified all cases of cardiac involvement, demonstrating 100% sensitivity and 100% negative predictive value. Researchers ...
A new artificial intelligence model found previously undetected signals in routine heart tests that strongly predict which patients will suffer potentially deadly complications after surgery. The ...
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