Within the next ten years, an AI system created by a group at the Oxford University spinout business Caristo Daignostics will be able to detect those who are at risk of having a heart attack. Because the model can identify heart inflammation that is not visible on CT scans, which usually combine computer technologies and X-rays, scientists have dubbed it “game-changing.”
A pilot study is currently being carried out at five hospital trusts in Oxford, Milton Keynes, Leicester, Liverpool, and Wolverhampton with support from NHS England. In the upcoming months, a decision about the technology’s adoption by the NHS is expected.
Additionally, the technique is being modified to prevent strokes and diabetes. “This technology is transformative and game-changing because, for the first time, we can detect the biological processes invisible to the human eye that precede the development of narrowing and blockages within the heart,” said Professor Keith Channon of the University of Oxford.
The British Heart Foundation (BHF) estimates that 7.6 million people in the UK suffer from heart disease, which costs the English National Health Service (NHS) £7.4 billion a year. In the UK, about 350,000 cardiac CT scans are performed annually.
Eighty percent of patients in the 40,000-person Orfan trial (Oxford Risk Factors and Non-invasive Imaging) were sent back to primary care without a clear preventive or treatment strategy, according to the report published in The Lancet. According to the study, patients who had coronary artery inflammation were 20–30 times more likely to die during the following ten years from a cardiac incident. 45% of these patients received medicine prescriptions or lifestyle modification advice using our AI technology in an effort to prevent further heart attacks.
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