A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
Mayo Clinic research has identified a powerful new way to improve the prediction of a patient's long-term cardiovascular ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...
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 ...
Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
Carnegie Mellon researchers have proven that widely available earbuds can double as heart-monitoring devices, capturing subtle cardiac activity with near-clinical accuracy and potentially expanding ...
The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...
Oxford University researchers hope their tool will be rolled out across the NHS.
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