AI Algorithm Detects Structural Heart Disease via Smartwatch ECG

Recent advancements in wearable technology paired with artificial intelligence (AI) are enhancing the detection and monitoring of cardiovascular health issues. Studies presented at the American Heart Association's Scientific Sessions 2025 demonstrated that an AI algorithm using single-lead ECG data from smartwatches can accurately diagnose structural heart diseases such as weakened heart pumping, damaged valves, and thickened heart muscle, potentially enabling early detection and widespread screening. This approach is significant because traditionally, diagnosing these conditions required echocardiograms, which are less accessible for routine screening. Concurrently, the Apple Watch integrates with third-party blood pressure monitors to help users track their blood pressure conveniently, although it does not measure it directly. Additionally, companies like Oura Health are developing non-cuff blood pressure monitoring technologies through smart rings, aiming to passively detect early signs of hypertension and provide consumer health insights, similar to new features Apple has introduced. These innovations represent a shift toward more accessible, continuous cardiovascular health monitoring using everyday wearable devices.