Artificial Intelligence Applications in Pediatric Brain Tumor Imaging: A Systematic Review.

Journal: World neurosurgery
Published Date: Oct 11, 2021

Abstract

OBJECTIVE: Artificial intelligence (AI) has facilitated the analysis of medical imaging given increased computational capacity and medical data availability in recent years. Although many applications for AI in the imaging of brain tumors have been proposed, their potential clinical impact remains to be explored. A systematic review was performed to examine the role of AI in the analysis of pediatric brain tumor imaging.

Authors

  • Jonathan Huang
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital, Chicago, Illinois, USA.
  • Nathan A Shlobin
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA. Electronic address: nathan.shlobin@northwestern.edu.
  • Sandi K Lam
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital, Chicago, Illinois, USA.
  • Michael DeCuypere
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital, Chicago, Illinois, USA. Electronic address: mdecuypere@luriechildrens.org.

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