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 ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
SENSE, a nationwide artificial intelligence (AI) initiative to interpret cardiac imaging scans in minutes, aiding early detection and prediction of coronary artery disease SENSE, a nationwide ...
The National Heart Centre Singapore is set to pilot a new AI-powered solution for rapid coronary artery disease prediction. SENSE (Singapore Heart Lesion Analyser) is a machine learning-driven system ...
A new artificial intelligence model in the US, SleepFM, has found that patterns in human sleep can be used to predict a person's risk for around 130 diseases, including dementia and certain cancers.
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 intelligence quietly combing through brain waves and breathing patterns for early ...
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