Researchers from the Radcliffe Department of Medicine at the University of Oxford have conducted a study on the potential of artificial intelligence (AI) in diagnosing heart disease. The study, funded by the British Heart Foundation and supported by the National Institute for Health and Care Research Oxford Biomedical Research Centre, examined routine cardiac computed tomography (CT) scans and clinical data from over 40,000 people at eight hospitals in the UK. The researchers followed the patients for up to 10 years to determine if they experienced major cardiac events such as heart attacks, heart failure, or cardiac death. The study found that AI technology can detect the level of inflammation of the heart arteries, which can help identify patients with high inflammation and high risk. Furthermore, the research team used the technology to provide patients with an AI risk-score based on the level of inflammation of their heart arteries and other health factors.
During a pilot study involving four NHS hospitals, AI-generated risk scores prompted doctors to alter their patients’ treatment plans in around 45% of cases. According to one of the co-investigators, providing a more precise picture of cardiac risk to clinicians and patients can result in timely administration of preventive treatments that could lead to fewer heart attacks and cardiac deaths. The chief scientific and medical officer at the British Heart Foundation also expressed the importance of technological advances like AI in guiding treatment decisions and preventing unnecessary heart-related deaths.
The technology is currently being piloted in several UK hospitals to assess how it can be integrated with current NHS care. The potential of AI in predicting and preventing cardiac events is a promising development in the field of cardiology. The study highlights the value of AI in providing accurate risk assessments and guiding treatment decisions, ultimately helping to reduce the incidence of heart-related conditions and deaths.
The ainewsarticles.com article you just read is a brief synopsis; the original article can be found here: Read the Full Article…
