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 ...

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 ...

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 ...

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

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 subtle cardiac activity with near-clinical accuracy and potentially expanding ...

In A Nutshell AI tools that track how the body’s molecular networks change over time may detect diseases like cancer, ...