Use of Artificial Intelligence Software to Detect Intracranial Aneurysms: A Comprehensive Stroke Center Experience.

Journal: World neurosurgery
Published Date: May 10, 2024

Abstract

OBJECTIVE: To evaluate variability in aneurysm detection and the potential of artificial intelligence (AI) software as a screening tool by comparing conventional computed tomography angiography (CTA) images (standard care) with AI software.

Authors

  • Otavio F De Toledo
    Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA; Research Department, Jacksonville University, Jacksonville, Florida, USA.
  • Salvador F Gutierrez-Aguirre
    Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA; Research Department, Jacksonville University, Jacksonville, Florida, USA.
  • Montserrat Lara-Velazquez
    Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA.
  • Adnan I Qureshi
    Zeenat Qureshi Stroke Institute, St. Cloud, Minnesota, USA.
  • Wendy Camp
    Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA.
  • Fernanda Erazu
    Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA; Research Department, Jacksonville University, Jacksonville, Florida, USA.
  • Victor H C Benalia
    Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA.
  • Amin Aghaebrahim
    Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA.
  • Eric Sauvageau
    Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA.
  • Ricardo A Hanel
    Lyerly Neurosurgery, Baptist Neurological Institute, Jacksonville, Florida, USA. Electronic address: Ricardo.Hanel@bmcjax.com.

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