Using artificial intelligence to interpret images from an ultrasound machine could help speed up the detection of heart dysfunction, according to a Scottish study.
The scientists found that ultrasound images of the heart interpreted using AI, including those obtained with a hand-held device, are as effective as using a typical ultrasound machine operated by an expert in measuring the pumping action of the organ.
However, while a standard analysis of an echocardiogram by a human operator takes about 30 minutes, the AI is able to interpret the images in just one minute.
The researchers pointed out that this is a huge reduction in clinical time and that it has the potential to significantly speed up the waiting time for the diagnosis of heart dysfunction.
The study was carried out by OPERA, a collaboration between the University of Glasgow, AstraZeneca, NHS Greater Glasgow & Clyde and NHS Golden Jubilee to assess the effectiveness of AI technology in patients with heart problems.
It is estimated that over one million people in the UK suffer from heart problems, a serious condition where the heart is unable to pump blood around the body properly.
“Recent OPERA results show that using AI to interpret echocardiogram images may enable early diagnosis,” according to the researchers.
Faster analysis of scans could also help the NHS reduce waiting times and help reduce pressures on the healthcare system.
The study was presented at the European Society of Cardiology (ESC) Conference in Amsterdam.
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