Outcome prediction prior to thrombectomy of the posterior circulation with machine learning.

Ludger FeyenStefan RohdeMartin WeinzierlMarcus KatohPatrick HaageNico MünnichHelge Kniep

Published in: Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences (2023)

Short-term favorable and poor outcomes in patients with acute ischemic stroke of the posterior circulation can be predicted prior to thrombectomy with moderate sensitivity and high specificity with machine learning models.

Keyphrases

acute ischemic stroke
machine learning
artificial intelligence
big data
high intensity
insulin resistance