Artificial intelligence for early stroke diagnosis in acute vestibular syndrome

Artificial intelligence for early stroke diagnosis in acute vestibular syndrome

ObjectiveMeasuring the Vestibular-Ocular-Reflex (VOR) gains with the video head impulse test (vHIT) allows for accurate discrimination between peripheral and central causes of acute vestibular syndrome (AVS). In this study, we sought to investigate whether the accuracy of artificial intelligence (AI...

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Bibliographic Details
Main Authors: Athanasia Korda, Wilhelm Wimmer, Thomas Wyss, Efterpi Michailidou, Ewa Zamaro, Franca Wagner, Marco D. Caversaccio, Georgios Mantokoudis
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neurology
Subjects:
vertigo
artificial intelligence
video head impulse test
stroke diagnosis
emergency department
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.919777/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.919777/full

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