Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
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