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 identified a powerful new way to improve the prediction of a patient's long-term cardiovascular disease risk by enhancing a routinely performed imaging test with artificial ...

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

A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

At Wayne General Hospital in rural Mississippi, clinicians say AI-powered stethoscope usage is helping them detect heart problems earlier in patients who often have limited access to specialists. The ...

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 ...

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

Carnegie Mellon researchers have proven that widely available earbuds can double as heart-monitoring devices, capturing ...

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