Smartwatch AI Detects Heart Damage

Researchers have developed an AI tool that uses smartwatch data to detect structural heart disease, potentially enabling widespread early screening. The AI analyses single-lead ECG data captured by smartwatches to identify heart problems. This technology offers a non-invasive and accessible method for monitoring heart health, overcoming the limitations of traditional diagnostic methods like echocardiograms, CT scans and MRIs, which can be expensive and time-consuming. Continuous monitoring through wearable technology allows for early intervention and could significantly reduce the number of sudden heart attacks worldwide.

Tech companies are investing heavily in integrating advanced health monitoring features into consumer devices. AI algorithms analyse data from thousands of patients to identify subtle patterns associated with heart disease. Some wearables can even alert medical professionals or emergency contacts if they detect an imminent cardiac event. This early warning system enables patients to seek medical attention before a heart attack occurs, potentially preventing severe damage or death.

Samsung is developing AI algorithms in collaboration with Medical AI to enable its smartwatches to detect signs of heart failure. These algorithms can detect and monitor Left Ventricular Systolic Dysfunction (LVSD), a serious condition that causes nearly 50% of heart failure cases. The AI is based on Medical AI's algorithm for 12-lead ECG analysis, already used in numerous hospitals.