Atrial fibrillation risk score for stroke patients
Diagnostic
In some patients who have had a stroke, an abnormal heart rhythm called atrial fibrillation (AF) increases the risk of blood clots forming and second strokes.
As a result, people who have had a stroke undergo heart monitoring in the days after, and if AF is detected, they are given drugs known as anticoagulants to prevent blood clots.
This project aims to develop a risk score for how likely a person to develop AF, to reduce unnecessary testing but also improve detection of AF through more rigorous testing in those who need it. This will improve AF diagnosis and treatment therefore and reduce rate of recurrent stroke.
The development of a new AI-supported model for imaging the heart based on data from over 700 people with atrial fibrillation, allow ablation to be more personalised to individual patients.
Bringing together patients and medical professionals to establish a partnership aimed at identifying areas of priority in adult cardiac surgery, to better inform clinicians and make heart surgery safer for patients.
Developing an AI-assisted computer programme to identify whether a conduction system pacing (CSP) procedure has been successful, which will allow more patients to benefit from this innovative pacemaker technology.
Developing a new test to measure the levels of desmosine in the body, which are higher when there is damage to the aorta, to diagnose aortic dissection more quickly.
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