Accuracy of artificial intelligence software for CT angiography in stroke.

Grant Mair Philip M White Philip M Bath Keith W MuirChloe MartinDavid Dye Francesca M Chappell Rüdiger von Kummer Malcolm Robert MacLeod Nikola Sprigg Joanna Marguerite Wardlawnull null

Published in: Annals of clinical and translational neurology (2023)

Compared to experts, the diagnostic accuracy of e-CTA for identifying acute arterial abnormality was 72-76%. Users of e-CTA should be competent in CTA interpretation to ensure all potential thrombectomy candidates are identified.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
liver failure
atrial fibrillation
aortic dissection
drug induced
hepatitis b virus
human health
blood brain barrier
risk assessment
brain injury
cerebral ischemia