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 ...

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 ...

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

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 ...

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

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

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

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 ...

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