Artificial intelligence innovations in neurosurgical oncology: a narrative review.

Journal: Journal of neuro-oncology
PMID: 38958849

Abstract

PURPOSE: Artificial Intelligence (AI) has become increasingly integrated clinically within neurosurgical oncology. This report reviews the cutting-edge technologies impacting tumor treatment and outcomes.

Authors

  • Clayton R Baker
    Vanderbilt University School of Medicine, Nashville, TN, USA. clayton.r.baker@vanderbilt.edu.
  • Matthew Pease
    Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Daniel P Sexton
    Department of Neurosurgery, Duke University, Durham, NC, USA.
  • Andrew Abumoussa
    Department of Neurosurgery, University of North Carolina at Chapel Hill Hospitals, Chapel Hill, NC, USA.
  • Lola B Chambless
    Department of Neurosurgery, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, United States.

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