Ischaemic Stroke and Atrial Fibrillation: Development of a Novel Artificial Intelligence System Using Magnetic Resonance Imaging

Abstract

Atrial fibrillation (AF) is an abnormal heart rhythm which is a common cause of stroke. AF can often go unrecognized as patients may have no symptoms. This project aims to develop computer software which can automatically detect underlying AF based on MRI brain scan pattern, in patients who have had an acute stroke. This project has the potential to offer several benefits, including reduced need for costly investigations, improved AF detection and a larger pool of patients being treated for AF.

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Introduction: Diagnosis of occult atrial fibrillation (AF) is difficult as it is often asymptomatic, leading to under-detection. C..