Acute Multidisciplinary Imaging and Interventional Centre
The Acute Multidisciplinary Imaging and Interventional Centre (AMIIC) provides world-leading clinical research in parallel with high-end clinical services. Our aim is to deliver state-of-the-art multidisciplinary research by providing the research infrastructure linking interventional, non-invasive imaging (photon counting CT) and artificial intelligence/big data capabilities.
At the same time, the centre supports education and clinical training as well as clinical care, by working together with the Oxford University Medical Sciences Division and Oxford University Hospitals NHS Foundation Trust.
What's new
Scientists in the UK and Germany partner to advance heart imaging research
8 January 2026
Researchers from the Acute Multidisciplinary Imaging and Interventional Centre (AMIIC) in RDM’s Division of Cardiovascular Medicine are leading a new partnership to strengthen international collaboration in advanced medical imaging, with a focus on improving how heart disease is studied and diagnosed.
Professor Charalambos Antoniades elected as new Fellow of the Academy of Medical Sciences
22 May 2025
The Academy of Medical Sciences has elected five University of Oxford biomedical and health scientists to its fellowship in 2025, including Charis Antoniades.
EAS Young Investigator Fellowship for Michail Mavrogiannis
1 April 2025
Congratulations to Michail Mavrogiannis who has been awarded an EAS Young Investigator Fellowship.
Vote for AI research shortlisted for the BHF Research Story of the Year award
7 August 2024
Voting is open! Some of our British Heart Foundation funded research has been shortlisted for the BHF Research Story of the Year award. Discover more and vote for our work into developing an AI tool to predict people’s risk of having a heart attack years before it happens.
AI analysis of routine heart scans can predict risk of a developing heart problems ten years in advance, new research finds
30 May 2024
A research team led by scientists at the Radcliffe Department of Medicine, University of Oxford has developed an Artificial Intelligence (AI) technology which can accurately predict the risk of a heart attack, heart failure or cardiac death from routine cardiac CT scans, up to ten years in advance.
AI tool could help thousands avoid fatal heart attacks
14 November 2023
An Artificial Intelligence (AI) tool that can predict 10-year risk of deadly heart attacks, could transform treatment for patients who undergo CT scans to investigate chest pain, according to British Heart Foundation (BHF)-funded research presented at the American Heart Association’s Scientific Sessions in Philadelphia.
Latest publications
Paediatric traumatic brain injury: clinical presentation, treatment approaches, management strategies, and outcomes. Insights from the CENTER-TBI study
Journal article
Graziano F. et al, (2026), Journal of Anesthesia Analgesia and Critical Care, 6
Protecting lactoferrin for iron delivery: Effects of matrix composition and iron loading on gastric stability
Journal article
Blanco-Doval A. et al, (2026), Food Hydrocolloids, 174
ificial intelligence-powered automatic coronary computed tomography angiography plaque quantification: comparison against optical coherence tomography.
Journal article
Li G. et al, (2026), Eur Heart J Digit Health, 7
Immune-mediated inflammatory disease and coronary calcium: Elevated baseline risk and attenuated prognostic gradient.
Journal article
Singh P. et al, (2026), Am J Prev Cardiol, 26
Selected publications
Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data.
Journal article
Oikonomou EK. et al, (2018), Lancet, 392, 929 - 939
novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.
Journal article
Oikonomou EK. et al, (2019), Eur Heart J, 40, 3529 - 3543
