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 ...
FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A new artificial intelligence model in the United States, SleepFM, has found that patterns in human slumber can be used to ...
Morning Overview on MSN
Stanford AI can flag disease risk after just 1 night of sleep
Stanford researchers say a single night in a sleep lab may soon double as a full‑body health scan, with artificial ...
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