The precision by the Face Arm Speech Time (FAST) algorithm in stroke capture, sex and age differences: a stroke registry study.

Guri HagbergHaakon Ihle-HansenTamar AbzhandadzeMalin ReinholdssonAdam ViktorissonHege Ihle-HansenKatharina Stibrant Sunnerhagen

Published in: BMJ neurology open (2024)

60% had at least one FAST symptom at admission, only 30% in mild strokes, with no sex or age difference. Adding new items from the NIHSS to the FAST algorithm led only to a slight increase in strokes captured.

Keyphrases

atrial fibrillation
machine learning
deep learning
emergency department
neural network
brain injury