CAI-X

AI project

FAST-MRI

Full title: FAST-MRI: AI-optimised MRI workflow for acute stroke

Aim

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.

We aim to test a Danish developed MRI AI system, that offers scan decision support via a smart protocol system, and image reviewing support. To our knowledge, this is the only AI system with such capabilities. This makes a potential benefit in MRI workflow. An AI system needs to be validated to scientific and clinical standard before implementation.

The project will include a systematic review of available AI systems for brain MRI of stroke patients. 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.

Participants

Department of Radiology, OUH

Project period

Start: December 2020

End: December 2023

Contact

Benjamin Rasmussen

Benjamin Schnack Rasmussen

Post Doc, MD

Department of Radiology

(+45) 65 41 21 55
[email protected]

Jonas Asgaard Bojsen

Physician

Department of Radiology

[email protected]