Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

A new artificial intelligence model in the US, SleepFM, has found that patterns in human sleep can be used to predict a ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Stanford researchers say a single night in a sleep lab may soon double as a full‑body health scan, with artificial ...