A new AI-powered heart test could significantly improve early detection of cardiovascular disease, especially in high-risk patients without symptoms.
Developed in Germany and evaluated in a UK study led by Dr Simon Rudland, the Cardisio test uses five electrodes-four on the chest, one on the back-to record 3D heart data. Unlike a traditional 2D ECG, this method captures electrical signals in more dimensions and uses AI to analyse rhythm, structure, and blood flow.
The quick 10-minute test returns a colour-coded result: green (normal), amber (borderline), or red (high risk). The study, published in BJGP Open, tested 628 individuals and found a positive predictive accuracy of 80% and a negative accuracy of 90.4%, with fewer than 2% test failures.
Dr Rudland called the findings 'exciting,' noting that the technology could streamline referrals, improve diagnosis in primary care, and reduce hospital waiting lists. He added that a pilot rollout may begin soon in Suffolk or north Essex, targeting high-risk women.
AI's ability to process complex cardiac data far exceeds human capacity, making it a promising tool in preventative medicine. This research supports the NHS's broader push to integrate AI for faster, smarter healthcare.
