Mass Deployment of Deep Neural Network: Real-Time Proof of Concept With Screening of Intracranial Hemorrhage Using an Open Data Set.

Journal: Neurosurgery
Published Date: Apr 1, 2022

Abstract

BACKGROUND: Intracranial hemorrhage (ICH) is considered an emergency that requires rapid medical or surgical management. Previous studies have used artificial intelligence to attempt to expedite the diagnosis of this pathology on neuroimaging. However, these studies have used local, institution-specific data for training of networks that limit deployment of across broader hospital networks or regions because of data biases.

Authors

  • Benjamin S Hopkins
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Nikhil K Murthy
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Pavlos Texakalidis
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Constantine L Karras
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Mitchell Mansell
    University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Babak S Jahromi
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Matthew B Potts
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
  • Nader S Dahdaleh
    Northwestern University Feinberg School of Medicine, Department of Neurological Surgery, 676 N. St. Clair Street, Suite 2210, Chicago, IL, 60611, USA. Electronic address: nader.dahdaleh@northwestern.edu.

Keywords

External Resources

Popular Topics
Recent Journals