External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke.

Grant MairPhilip WhitePhilip M Bath Keith W Muir Rustam Al-Shahi SalmanChloe MartinDavid Dye Francesca M Chappell Adam Vacek Rüdiger von Kummer Malcolm Robert MacLeod Nikola Sprigg Joanna Marguerite Wardlaw

Published in: Annals of neurology (2022)

On independent testing, e-ASPECTS provided moderate agreement with experts and overcalled stroke features. Therefore, future prospective trials testing impacts of artificial intelligence (AI) software on patient care and outcome are required before widespread implementation of stroke decision-support software. ANN NEUROL 2022;92:943-957.

Keyphrases

artificial intelligence
atrial fibrillation
machine learning
big data
deep learning
cerebral ischemia
primary care
healthcare
data analysis
magnetic resonance imaging
resting state
white matter
image quality
functional connectivity
current status
magnetic resonance
positron emission tomography
dual energy
pet ct