Abstract 154: Training Independent Artificial Intelligence Models for the Detection of Intracranial Pathology

Introduction Intracranial hemorrhage (ICH) and brain parenchymal midline shift (MLS) are medical emergencies and require timely diagnosis for early triage to lifesaving care. Artificial intelligence (AI) has shown potential in shortening the time to diagnosis. Although most of models have been compr...

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Bibliographic Details
Main Authors: Mahsa Eskian, Vera Sharashidze, Jeremy Heit, Hesham Masoud, Grahame Gould
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:Stroke: Vascular and Interventional Neurology
Online Access:https://www.ahajournals.org/doi/10.1161/SVIN.03.suppl_2.154