The FAST-MRI project aims to investigate the accuracy, workload changes and time-to-diagnosis when implementing an artificial intelligence (AI) system for stroke magnetic resonance imaging (MRI) diagnostics in a Danish setting.
The project tests a Danish AI system for MRI, that offers scan decision support via a smart protocol system and image reviewing support. The AI system needs to be validated to scientific and clinical standards prior to implementation.
The project includes a systematic review of available AI systems for brain MRI of stroke patients, and a retrospective validation study for the MRI AI system and prospective clinical trial to uncover workflow optimisation. This is, to our knowledge, the first of its kind.
Department of Radiology, OUH