A new artificial intelligence (AI) technology that can predict individuals at risk of heart attacks within the next decade has been lauded as “game-changing” by scientists. Developed by Caristo Diagnostics, a spinout from Oxford University, this AI model identifies inflammation in the heart that is undetectable by conventional CT scans, which utilize a combination of X-rays and computer technology.

Currently, a pilot project backed by NHS England is underway at five hospital trusts in Oxford, Milton Keynes, Leicester, Liverpool, and Wolverhampton. A decision regarding its broader adoption within the NHS is expected in the coming months. The technology is also being adapted for the prevention of strokes and diabetes.

Professor Keith Channon of the University of Oxford emphasized the transformative potential of this technology, stating that it enables the detection of previously invisible biological processes that lead to coronary artery blockages. Within the pilot, patients experiencing chest pain and referred for routine CT scans have their results analyzed by Caristo Diagnostics’ CaRi-Heart AI platform. The platform’s algorithm detects coronary inflammation and plaque, which are then verified by trained professionals. Research has established a link between increased inflammation and a higher risk of cardiovascular disease and fatal heart attacks.

The British Heart Foundation (BHF) reports that around 7.6 million people in the UK suffer from heart disease, costing the NHS £7.4 billion annually. The Orfan study, involving 40,000 patients, found that those with coronary artery inflammation had a 20 to 30 times higher risk of dying from a cardiac event within ten years. The study also revealed that using this AI technology led to 45% of at-risk patients being prescribed medication or advised to make lifestyle changes to mitigate the risk of future heart attacks.

The National Institute for Health and Care Excellence is currently evaluating the technology for potential rollout across the NHS.