Assessment of an Artificial Intelligence Algorithm for Detection of Intracranial Hemorrhage.
Journal:
World neurosurgery
Published Date:
Jun 1, 2021
Abstract
BACKGROUND: Immediate and accurate detection of intracranial hemorrhages (ICHs) is essential to provide a good clinical outcome for patients with ICH. Artificial intelligence has the potential to provide this, but the assessment of these methods needs to be investigated in depth. This study aimed to assess the ability of Canon's Stroke Solution ICH detection algorithm to accurately identify patients both with and without ICHs present.
Authors
Keywords
Aged
Algorithms
Artificial Intelligence
Cohort Studies
False Positive Reactions
Female
Glasgow Coma Scale
Humans
Image Processing, Computer-Assisted
Intracranial Hemorrhages
Male
Middle Aged
Predictive Value of Tests
Retrospective Studies
Sensitivity and Specificity
Stroke
Tomography, X-Ray Computed