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Magnetic resonance imaging (MRI) scans provide lots of data on the health of a person’s brain, not all of which is routinely used in clinical practice. This project will continue the development of tools to assess the brain scans of people with stroke. The outcome of this research should produce methods that can predict how patients will fare after a stroke, helping doctors to decide the best treatments and improve outcomes.

The CROMIS-2 study investigated whether signs of small brain bleeds on routine brain scans can help us understand which ischaemic stroke patients with atrial fibrillation are at increased risk of a bleed in the brain when on anticoagulant ‘blood thinning’ drugs.

This project is part of a larger on-going study into Small Vessel Disease (SVD) after stroke. It will allow the researchers to invite some of the participants in this project back for more frequent brain scans and tests to help them to understand more about SVD after stroke.

Dr Grant Mair's new research testing a ‘clock tool’ for CT scans could open the door to life-changing treatments for stroke patients.

The researchers test an AI software to understand if it should be used for diagnosis of stroke in hospitals.

Published in the JNNP (Journal of Neurology, Neurosurgery and Psychiatry), new research suggests that a computer technique could help predict how well stroke survivors respond to language therapies for aphasia.

A five-year research study funded by the Stroke Association aims to use routine brain imaging technology to improve outcomes for stroke survivors.

Margarita Saranti is using the power of artificial intelligence to improve how we predict recovery and personalise aphasia treatment after stroke.

Today, the NHS will mark 75 years of service. To celebrate this milestone, we'd like to take this opportunity to say a huge thank you.

Dr Michael Stringeri s researching why some stroke survivors with small vessel disease go on to experience more brain damage than others.