Superhuman AI tool: Study finds hidden heart disease can be detected from routine ECG in just 2 seconds
Superhuman AI tool: Study finds hidden heart disease can be detected from routine ECG in just 2 seconds
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Superhuman AI tool: Study finds hidden heart disease can be detected from routine ECG in just 2 seconds
A new artificial intelligence system developed by researchers at Imperial College London can analyse a routine ECG in less than two seconds and identify patients who may have hidden heart failure or valve disease. Early results suggest it could help hospitals prioritise echocardiograms, although further testing is needed before wider clinical use.
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FP Tech Desk
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Sep 01, 2026, 14:27:11
A routine heart test that takes only seconds could reveal more about a patient's cardiovascular health than doctors can see on the tracing itself, according to researchers developing an artificial intelligence system at Imperial College London.
The technology analyses standard electrocardiograms (ECGs) and searches for subtle electrical patterns associated with conditions including heart failure and heart valve disease. The system can process a recording in less than two seconds, potentially giving clinicians a rapid way to decide which patients should undergo more detailed cardiac investigations.
The findings were presented at the European Society of Cardiology annual congress in Munich. In a US study involving around 67,000 patients, the AI identified 81% of people who had heart failure and 90 per cent of those with valve disease.
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Millions of ECGs helped train the system
An ECG measures the heart's electrical activity, normally recordin