A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD than traditional tools.

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

Mayo Clinic research has identified a powerful new way to improve the prediction of a patient's long-term cardiovascular ...

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our goal was to reconstruct the highly fragmentary text of the Singapore Stone, ...

A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.

Sonorus isn't the only organisation working to detect heart disease via AI sound analysis. Studies on AI-enabled stethoscopes ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

New cholesterol guidelines advise doctors to begin screening and treating people in their 30s, long before the risks of a heart attack and stroke become significantly higher. Subscribe to read this ...

Shane Limbaugh (He/Him) is a Contributor from the US. While he hasn't been writing about games for very long he has certainly been playing them. His degree in Game Design and Criticism let him better ...