Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

In this post, we will show you how to create real-time interactive flowcharts for your code using VS Code CodeVisualizer. CodeVisualizer is a free, open-source Visual Studio Code extension that ...

People who brought their blood glucose down to a normal level had a lower risk of death from heart disease or hospitalization for heart failure after 20 years. By Nina Agrawal People with prediabetes ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply intelligent clinical decision-making. The study investigates how ...

Artificial intelligence can use smartwatch data to detect heart disease, a new study says. AI fed heart sensor data from an Apple Watch accurately detected heart problems like weakened pumping ability ...

A new analysis adds to the research about the link between viral infections and heart disease. By Nina Agrawal A number of viral infections, including flu, Covid-19 and shingles, are linked to an ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...