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Contact the study team using the details below to take part. If there are no contact details below please ask your doctor in the first instance.
Dr
Stephen
Mullin
stephen.mullin@plymouth.ac.uk
Dr
Stephen
Mullin
stephen.mullin@plymouth.ac.uk
Cerebrovascular diseases
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We seek permission to use routine computer tomography (CT), magnetic resonance spectroscopy (MRI), ECG and echocardiogram data to develop an artificial intelligence model to predict the risk of future stroke. Our hope is that, based on this data, we will be able to develop of a tool which will be able to quantify the risk of future stroke and haemorrhage, based on historical routine investigations.
Briefly, stroke cases will be identified from routine the Sentinel stroke National; Audit Programme, hospital electronic records and GP records. Relevant clinical data will also be extracted by the routine clinical care team. CT/MRI/ECG/echocardiogram data will be matched using pseudonymised identifiers (NHS number, year of birth, first two letters of postcode) by a member of the routine clinical care team who is not part of the research team. A number of matched control CT/MRI/ECG/echocardiogram data will also be obtained as a control group. Once matched, the complete dataset will be de-identified and released to the university of researchers for analysis. The anonymised dataset will remain only on the hard drive of the departments dedicated machine learning computer or on a cloud database under the control of the University of Plymouth. The UHPNT research team will not have access to the pseudonymised or identifiable datasets.
Start dates may differ between countries and research sites. The research team are responsible for keeping the information up-to-date.
The recruitment start and end dates are as follows:
Observational type: Validation of investigation /therapeutic procedures;
You can take part if:
You may not be able to take part if:
The presence of abnormalities in CT/MRI/ECG/echocardiogram data likely to confound AI pipeline
Below are the locations for where you can take part in the trial. Please note that not all sites may be open.
The study is sponsored by University of Plymouth and funded by Engineering and Physical Sciences Research Council (EPSRC) .
Your feedback is important to us. It will help us improve the quality of the study information on this site. Please answer both questions.
Read full details
for Trial ID: CPMS 56971
You can print or share the study information with your GP/healthcare provider or contact the research team directly.
