Artificial intelligence can help detecting incidental intracranial aneurysm on routine brain MRI using TOF MRA data sets and improve the time required for analysis of these images.

Journal: Neuroradiology

PMID: 39230716

Abstract

PURPOSE: The aim of our study was to assess the diagnostic performance of commercially available AI software for intracranial aneurysm detection and to determine if the AI system enhances the radiologist's accuracy in identifying aneurysms and reduces image analysis time.

Authors

Ilya Adamchic

Department of Radiology, Vivantes Hospital im Friedrichshain, Landsberger Allee 49, 10249, Berlin, Germany. i.adamchic@gmail.com.
Sven R Kantelhardt

Department of Neurosurgery and.
Hans-Joachim Wagner

Department of Radiology, Vivantes Hospital im Friedrichshain, Landsberger Allee 49, 10249, Berlin, Germany.
Michael Burbelko

Department of Radiology, Vivantes Hospital im Friedrichshain, Landsberger Allee 49, 10249, Berlin, Germany.

Keywords

Adult Aged Aged, 80 and over Artificial Intelligence Female Humans Image Interpretation, Computer-Assisted Incidental Findings Intracranial Aneurysm Magnetic Resonance Angiography Magnetic Resonance Imaging Male Middle Aged Reproducibility of Results Sensitivity and Specificity Software

External Resources

View on PubMed Access via DOI PubMed (39230716)

Artificial intelligence can help detecting incidental intracranial aneurysm on routine brain MRI using TOF MRA data sets and improve the time required for analysis of these images.

Abstract

Authors

Keywords

External Resources

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