ISSN: 2168-9784
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Department of Imaging, Cedars Sinai Medical Center, Los Angeles, CA, USA
Research Article
Prescreening for Intracranial Hemorrhage on CT Head Scans with an AI-Based Radiology Workflow Triage Tool: An Accuracy Study
Author(s): Chodakiewitz YG*, Maya MM and Pressman BD
Purpose: To evaluate a recently FDA-approved AI-based radiology workflow triage device for accuracy in identification of intracranial hemorrhage (ICH) on prescreening of real-world CT brain scans.
Method/Materials: An AI-based device ("the algorithm") for ICH detection on CT brain scans was studied at our institution; the algorithm was developed by outside company Aidoc (Tel Aviv, Israel). A retrospective dataset of 533 non-contrast head CT scans was collected from our large urban tertiary academic medical center. Following convention for studies evaluating sensitivities and specificities of imaging computer-aided detection and diagnosis devices, a prevalence-enriched dataset was utilized such that a 50% prevalence of intracranial hemorrhage was obtained. The algorithm was run on the dataset. Cases flagged by the algorithm as positiv.. View More»