Artificial intelligence 'better at diagnosing heart failure' than standard test

Dr Ken Lee, cardiology specialist registrar and clinical lecturer at Edinburgh University, said: "Heart failure can be a very challenging diagnosis to make in practice. "We have shown that CoDE-HF, our decision-support tool, can substantially improve the accuracy of diagnosing heart failure compared to current blood tests." Previous research has shown that patients who are diagnosed quickly benefit the most from treatment. Acute heart failure affects nearly one million people in the UK and accounts for five per cent of all unplanned hospital admissions. The prevalence is projected to rise by approximately 50% over the next 25 years owing to the ageing population. It is a sudden, life-threatening condition caused when the heart is suddenly unable to pump enough oxygen-rich blood around the body to meet its needs. It can be brought on by coronary heart disease – where the arteries become blocked, limiting blood flow – or by other ongoing conditions such as diabetes which damage cardiac ...