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 ...

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 ...

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

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 ...

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

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

Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...