Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage.

Journal: Neuroradiology

Published Date: Dec 11, 2019

Abstract

PURPOSE: To analyze the implementation of deep learning software for the detection and worklist prioritization of acute intracranial hemorrhage on non-contrast head CT (NCCT) in various clinical settings at an academic medical center.

Authors

Daniel T Ginat

University of Chicago, Pritzker School of Medicine, Chicago, IL, USA.

Keywords

Acute Disease Deep Learning Female Humans Intracranial Hemorrhages Male Predictive Value of Tests Prospective Studies Sensitivity and Specificity Software Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (31828361)

Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage.

Abstract

Authors

Keywords

External Resources

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