A group of scientists from the University of Surrey have developed a new AI-based tool which could determine heart failure with just one heartbeat, research suggests.
During a recorded test, scientists ‘fed’ the system with electrocardiograms (ECG) that made up more than 490,000 heartbeats.
The technology was then exposed to a series of ‘five minute ECG excerpts’ taken from 24 hour recordings.
Results showed the convolutional neural network, as it is called, was 100 per cent accurate at spotting patients with heart failure.
The University of Surrey team hope their tool will one day help doctors diagnose HF sooner, ‘benefiting patients and easing pressures on NHS resources’.