Ischaemic stroke and Atrial Fibrillation: Development of a novel artificial intelligence system using Magnetic Resonance Imaging

房颤是一种异常心律，是中风的常见原因。由于患者可能没有任何症状，房颤通常不会被发现。该项目旨在开发计算机软件，该软件可以根据MRI脑扫描模式自动检测急性中风患者的潜在房颤。该项目有可能提供几个好处，包括减少对昂贵调查的需求，改进房颤检测，以及更多的房颤患者接受治疗。

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.