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AI Smartwatch Detects Hidden Heart Disease with 88% Accuracy

AI algorithm detects structural heart disease using smartwatch ECG with 88% accuracy. Yale study shows wearable tech can identify weakened heart function, valve damage in real-world testing.

This breakthrough matters because it transforms everyday wearable technology into powerful medical screening tools that could save lives. Structural heart diseases often develop silently without symptoms until serious complications occur, making early detection crucial for preventing heart failure, strokes, and other cardiac events. With millions of people already wearing smartwatches, this technology could democratize access to advanced cardiac screening that's typically only available through specialized medical equipment and appointments. The ability to detect conditions like weakened heart pumping, valve damage, and thickened heart muscle through routine smartwatch use represents a paradigm shift in preventive cardiology. It empowers individuals to monitor their heart health continuously rather than waiting for annual check-ups, potentially catching serious conditions years earlier when interventions are most effective. This approach could significantly reduce healthcare costs by preventing advanced disease progression and make sophisticated cardiac screening accessible to underserved populations who might not have regular access to specialized medical care.