Comprehensive Overview of Computational Modeling and Artificial Intelligence in Pediatric Neurosurgery.

Journal: Advances in experimental medicine and biology
Published Date:

Abstract

In this chapter, we give an overview of artificial intelligence tools and their use thus far in pediatric neurosurgery. We discuss different machine learning algorithms from a data-driven approach in order to guide clinicians and scientists as they apply them to real-world datasets. We provide examples of their successful application as well as evaluate limitations and pitfalls specific to clinical use. Finally, we explore future directions and exciting new opportunities to take advantage of these tools as they continue to advance and evolve.

Authors

  • Steven Qiu
    Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
  • Armaan K Malhotra
    Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
  • Jennifer L Quon
    1Department of Neurosurgery, Stanford University School of Medicine.