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Professor Amedeo Chiribiri is Professor in Cardiovascular Imaging in the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences & Medicine at King's College London. He earned his degree in Medicine from the University of Turin, Italy, in 2001, with an experimental thesis on the role of coronary endothelium in the modulation of myocardial contractility. He completed his cardiology training in 2006 and received his PhD in Experimental Medicine and Human Physiology in 2011. Early in his career, he served as a research fellow in human physiology at the University of Turin from 1997 to 2001 and as a part-time lecturer in Human Physiology from 2002 to 2006. He worked as a research fellow at the German Heart Institute in Berlin from September 2006 to February 2007, locum consultant at the University of Turin from March 2007 to February 2008, and Honorary Consultant Cardiologist and Clinical Research Fellow at the Division of Imaging Sciences, King's College London, starting in March 2008. In April 2013, he took up the position of Senior Lecturer in Cardiovascular Imaging at King's College London and Honorary Consultant Cardiologist at Guy’s and St Thomas’ NHS Foundation Trust. Since August 2013, he has been the clinical lead for the non-congenital cardiac magnetic resonance service at Guy’s and St Thomas’ NHS Foundation Trust. He holds fellowships as FHEA and FSCMR.
Professor Chiribiri's research specializations include the physiology and pathophysiology of coronary circulation, myocardial ischaemia and protection, and non-invasive visualization of physiological and pathophysiological processes using advanced cardiovascular imaging techniques such as echocardiography, cardiac computed tomography, and magnetic resonance imaging. His work emphasizes high-resolution quantification of myocardial perfusion and assessment of coronary pathophysiology. He is author or co-author of more than 80 scientific papers in international peer-reviewed journals and several book chapters. Notable publications include 'Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging' (2025, Journal of Cardiovascular Magnetic Resonance), 'Prognostic Value of Quantitative Stress Perfusion Cardiac Magnetic Resonance' (2018), 'Clinical value of dark-blood late gadolinium enhancement cardiovascular magnetic resonance for the identification of acute myocardial infarction' (2019), 'Deep learning motion correction of quantitative stress perfusion cardiovascular magnetic resonance' (2026), and 'A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age' (2026, European Heart Journal Cardiovascular Imaging).
