AI SPOTS HEART DISEASE IN UNDER 2 SECONDS

The technology represents a significant advancement in cardiac screening. By analyzing routine ECGs with machine learning, the system identifies patterns associated with heart disease in less than two seconds—far faster than traditional clinical review. The AI was trained on data from millions of patients, allowing it to recognize subtle indicators that typically escape human observation. This capability could enable faster identification of high-risk patients who require immediate treatment. Clinicians say the tool complements existing diagnostic workflows rather than replacing human judgment. The speed of analysis allows hospitals to triage patients more efficiently and allocate resources to those with the greatest need. ECGs remain one of the most common cardiac diagnostic tools worldwide. Automating their interpretation through AI could reduce diagnostic delays in emergency departments and routine screening settings, potentially improving outcomes for patients with undetected heart conditions.