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 ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
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.
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
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