Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis.

Jonas Asgaard BojsenMohammad Talal ElhakimOle GraumannDavid GaistMads NielsenFrederik Severin Gråe HarboChristian Hedeager KragMalini Vendela SagarChristina KruuseMikael Ploug BoesenBenjamin Schnack Brandt Rasmussen

Published in: Insights into imaging (2024)

There is a growing interest in AI solutions for detection aid. The performance is unknown for MRI stroke assessment. AI detection sensitivity and specificity were 93% and 93% for ischaemic lesions. There is limited evidence for the detection of patients with haemorrhagic lesions. AI can accurately detect patients with ischaemic stroke in MRI.

Keyphrases

artificial intelligence
loop mediated isothermal amplification
machine learning
magnetic resonance imaging
big data
contrast enhanced
label free
deep learning
atrial fibrillation
diffusion weighted imaging
magnetic resonance
computed tomography
sensitive detection
clinical evaluation