AI Based Decision Making In Thrombolysis(ADMIT)

Summary

ADMIT is an project which aims to improve decision making in acute stroke. Researchers from the University of Exeter have already demonstrated that artificial intelligence is able to make clinically useful predictions about who will benefit from acute stroke treatments such as thrombolysis and mechanical thrombectomy.
ADMIT will build on this success by incorporating valuable data found in brain scans taken at the time of the stroke and prior to the stroke. It is hoped that by making data driven predictions available to clinicians at the point of treatment, avoidable complication of these treatments can be prevented, saving lives and reducing life changing disability. To find out more click here

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Medical data used in this project is stored and processed in compliance with the highest data protection standards. All data that we analyse is first anonymised. Information that may be used to identify the people whose data we use in this project is held strictly on NHS computer systems and processed only by qualified NHS staff. We understand however that some people may not wish to have their data used in this way. If you would like to opt out of involvement of this or any other of our projects, please click here.