Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine Coronary Computed Tomography Angiography | Apostolos et al.
Abstract
Coronary Computed Tomography Angiography (CCTA) is a first line investigation for chest pain in patients with suspected obstructive coronary artery disease (CAD). However, many acute cardiac events occur in the absence of obstructive CAD. We assessed the lifetime cost-effectiveness of integrating a novel artificial intelligence-enhanced image analysis algorithm (AI-Risk) that stratifies the risk of cardiac events by quantifying coronary inflammation, combined with the extent of coronary artery plaque and clinical risk factors, by analysing images from routine CCTA.
Read the entire publication here.
Apostolos Tsiachristas, Kenneth Chan, Elizabeth Wahome, Ben Kearns, Parijat Patel, Maria Lyasheva, Nigar Syed, Sam Fry, Thomas Halborg, Henry West, Ed Nicol, David Adlam, Bhavik Modi, Attila Kardos, John P Greenwood, Nikant Sabharwal, Giovanni Luigi De Maria, Shahzad Munir, Elisa McAlindon, Yogesh Sohan, Pete Tomlins, Muhammad Siddique, Cheerag Shirodaria, Ron Blankstein, Milind Desai, Stefan Neubauer, Keith M Channon, John Deanfield, Ron Akehurst, Charalambos Antoniades, on behalf of the ORFAN Consortium, Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine Coronary Computed Tomography Angiography, European Heart Journal – Quality of Care and Clinical Outcomes, 2024;, qcae085, https://doi.org/10.1093/ehjqcco/qcae085
