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Researchers from the University of Oxford are using artificial intelligence to improve diagnostic accuracy for heart disease. The team hope to roll out the system across the NHS later this year, helping to improve patient outcomes and saving millions is misdiagnoses. The research, led by Prof Paul Leeson and RDM DPhil student Ross Upton (Cardiovascular Clinical Research Facility), took place in the Oxford University Hospitals Foundation Trust and is the basis of spin-out company Ultromics.
Neubauer Group: Oxford Centre for Clinical Magnetic Resonance Research
OCMR uses sophisticated cardiac MR imaging and spectroscopy methods to phenotype cardiovascular disease – in small-scale proof-of-principle studies, large-scale multicentre clinical trials and ultra-large scale population imaging programmes. As well as running their own research programmes, OCMR serves as a collaboration partner to any group wanting to strengthen their clinical research with state of the art non-invasive phenotyping tools.
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How to find the Diabetes Trials Unit
Publications
DTU Publications
Tyler Group: Development and Application of Cardiac Magnetic Resonance Imaging and Spectroscopy
Using metabolic imaging to transform our approach to disease detection and treatment.
EVAREST (Echocardiography - Value and Accuracy at Rest and Stress)
EVAREST is CCRF-led multi-centre trial which aims to identify and validate novel blood and imaging biomarkers of potential value for consistent and accurate interpretation of stress echocardiography.
DPhil research opportunities
Find out about DPhil Research Opportunities available in 2020.