News Medical on MSN
Physical function metrics improve mortality prediction in elderly heart failure patients
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...
A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...
New data-driven map uses live weather, water temperature modeling, and machine learning to help prevent fish loss ...
A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...
Tech Xplore on MSN
AI model edits can leak sensitive data via update 'fingerprints'
Artificial intelligence (AI) systems are now widely used by millions of people worldwide, as tools to source information or ...
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