Creating an AI-MRI service
The UK is second-to-last in terms of MRI scanners per-capita in the European Union, which has a significant impact on meeting the healthcare needs of the population, in particular when it comes to cancer diagnosis.
One of the issues that exacerbates this issue is the unwarranted variation in MRI service across institutions and even within institutions. The aim of the project is to improve MRI quality and capacity by implementing the first data-driven MRI service in the NHS using in-house developed machine learning and resident expertise in MR Physics, Clinical Computing and one of the highest throughput imaging services in the country.
The project will integrate in-house artifical intelligence software to monitor the quality of images, MRI acquistion protocol monitoring, a ticketing system and existing imaging and clinical information systems in order to drive down acquisition times whilst maintaining or improving quality.
The outcomes of this project will hopefully lead to learnings and software that can be applied to other clinical services in the Trust as well as, more immediately, to other MRI imaging services in the NHS.