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.
About AMIIC
The Acute Multidisciplinary Imaging and Interventional Centre (AMIIC) has been launched in its current form in June 2022, and is led by Professor Charalambos Antoniades, British Heart Foundation Chair of Cardiovascular Medicine at the University of Oxford. AMIIC comprises of three pillars: (a) Big Data/Artificial Intelligence (b) Advanced photon counting Computed Tomography Imaging (c) Invasive imaging and interventions (interventional suite).
Read moreWhat's new
AMIIC welcomes colleagues at opening event
13 January 2023
Study develops radiotranscriptomic AI analysis to enable virtual heart biopsies
5 September 2022
RDM researchers tested the method in COVID-19 patients, to find that the results predicted in-hospital mortality.
Latest publications
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Lectin-Like Oxidized Low-Density Lipoprotein Receptor 1 Inhibition in Type 2 Diabetes: Phase 1 Results.
Journal article
Vavere AL. et al, (2023), J Am Heart Assoc
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Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction.
Journal article
West HW. et al, (2023), JACC Cardiovasc Imaging
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Using artificial intelligence to study atherosclerosis, predict risk and guide treatments in clinical practice.
Journal article
Antoniades C. et al, (2023), Eur Heart J
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Noninvasive Plaque Imaging to Accelerate Coronary Artery Disease Drug Development.
Journal article
Figtree GA. et al, (2022), Circulation, 146, 1712 - 1727
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Pericardial adiposity is independently linked to adverse cardiovascular phenotypes: a CMR study of 42 598 UK Biobank participants.
Journal article
Ardissino M. et al, (2022), Eur Heart J Cardiovasc Imaging, 23, 1471 - 1481
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
A 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
Director
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Charalambos Antoniades
British Heart Foundation Chair of Cardiovascular Medicine
