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
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.
AMIIC receives positive patient feedback
5 June 2023
AMIIC performs its first stroke thrombectomy
19 May 2023
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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Advancements in glioma segmentation: comparing the U-Net and DeconvNet models
Journal article
Mohammed AA. and Gonzales RA., (2024), Journal of Emerging Investigators
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Journal article
McCracken C. et al, (2024), BMC Medicine, 22
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Journal article
Loh NY. et al, (2024), Diabetes, 73, 2084 - 2094
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Journal article
Moazen M. and Twigg SRF., (2024), J Anat, 245, 813 - 814
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