Silent Heart Attacks Detected by New AI Tech

Undetected silent heart attacks can cause significant heart muscle damage without apparent symptoms. Researchers are developing a novel solution utilizing a small electronic pad and artificial intelligence to identify these past cardiac events through electrocardiograms (ECGs).

This technology allows for the screening of individuals for undiagnosed chronic conditions, including silent heart attacks. By analyzing ECG data, healthcare providers can identify patients who have experienced a heart attack previously. This enables them to initiate preventative treatments, such as medications to manage blood pressure and cholesterol, and stronger anticoagulants, thereby reducing the risk of recurrent heart attacks.

Beyond silent heart attacks, similar AI-driven tools can screen for other conditions like valvular heart disease, rheumatic heart disease, and various forms of heart failure. The system employs low-cost devices and algorithms trained on hospital data to diagnose both chronic and acute emergency conditions in real-time, guiding patients to appropriate care.

India is highlighted as an ideal partner for AI-based healthcare projects due to its vast data volume, cost-effectiveness in data acquisition, and substantial human capital. Rigorous evaluation infrastructure further supports the development of innovations that can benefit both India and the global community. Data collected is de-identified and shared for non-profit research, ensuring benefits return to the participating patients.