A groundbreaking study reveals that artificial intelligence can accurately detect heart disease using smartwatch data, potentially revolutionizing early screening methods. Researchers trained AI algorithms on extensive 12-lead ECG recordings, enabling them to identify single-lead data patterns indicative of heart disease. When tested on 600 recruits, the AI demonstrated remarkable accuracy, achieving 88% success in distinguishing individuals with heart disease from those without. Furthermore, it excelled at ruling out individuals without heart disease, with a 99% accuracy rate. This breakthrough has significant implications, as it suggests that smartwatches, already owned by millions, could become powerful tools for early heart disease detection, potentially improving preventive care and reducing the need for specialized equipment.
