MD, PhD fellow Jonas Asgaard Bojsen Department of Radiology, Odense University Hospital
Projektet i tal
OPEN undersøgelse/kliniske data
Forventet # af deltagere
Inkluderet antal deltagere
Inkluderede deltagere med prøver
Accuracy validation of an AI for MRI stroke detection - a retrospective cohort study
The purpose of the project is to determine the detection accuracy of stroke by the commercially available Artificial Intelligence (AI) system Apollo (Cerebriu A/S, Copenhagen, Denmark).
The workload of of magnetic resonance imaging (MRI) on radiology departments are steadily increasing each year, whilst the number of radiologists to plan, interpret and report the scans are the same. To aid the radiologists, AI systems have been proposed. Before any such system can be implemented, it must be thoroughly scientifically validated.
Description of the cohort
The cohort consists of up to 1000 patients 18 years or older, who have performed an MRI on Odense University Hospital (OUH) on the suspicion of stroke. MRI sequences FLAIR, DWI and either GRE T2* or SWI must have been performed, and the images must be of sufficient quality.
Data and biological material
The raw DICOM image sequences will be collected and pseudonymized before being handled by the AI software.