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Automated Collateral Flow Assessment in Patients with Acute Ischemic Stroke Using Computed Tomography with Artificial

Ryan A Rava1, Samantha E Seymour1, Kenneth V Snyder2

  • 1Department of Biomedical Engineering, University at Buffalo, Buffalo, New York, USA; Canon Stroke and Vascular Research Center, Buffalo, New York, USA.

World Neurosurgery
|September 10, 2021
PubMed
Summary

Artificial intelligence accurately assesses collateral flow in acute ischemic stroke (AIS) patients, improving reperfusion therapy decisions. This AI method streamlines workflow and reduces bias in identifying eligible patients.

Keywords:
Artificial intelligenceBrainComputed tomography perfusionIschemic stroke

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