Evaluation of an Artificial Intelligence Model for Identification of Intracranial Hemorrhage Subtypes on Computed Tomography of the Head.

ABSTRACT:

Background

Intracranial hemorrhage is a critical finding on computed tomography (CT) of the head. This study compared the accuracy of an artificial intelligence (AI) model (Annalise Enterprise CTB Triage Trauma) to consensus neuroradiologist interpretations in detecting 4 hemorrhage subtypes: acute subdural/epidural hematoma, acute subarachnoid hemorrhage, intra-axial hemorrhage, and intraventricular hemorrhage.

Methods

A retrospective stand-alone performance assessment was conducted on data sets of cases of noncontrast CT of the head acquired between 2016 and 2022 at 5 hospitals in the United States for each hemorrhage subtype. The cases were obtained from patients aged ≥18 years. The positive cases were selected on the basis of the original clinical reports using natural l

SUBMITTER: Hillis JM 

PROVIDER: S-EPMC12778542 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature