Exploring the Combination of Computer Vision and Surgical Neuroanatomy: A Workflow Involving Artificial Intelligence for the Identification of Skull Base Foramina.

Journal: World neurosurgery
PMID: 39233310

Abstract

BACKGROUND: The skull base is a complex region in neurosurgery, featuring numerous foramina. Accurate identification of these foramina is imperative to avoid intraoperative complications and to facilitate educational progress in neurosurgical trainees. The intricate landscape of the skull base often challenges both clinicians and learners, necessitating innovative identification solutions. We aimed to develop a computer vision model that automates the identification and labeling of the skull base foramina from various image formats, enhancing surgical planning and educational outcomes.

Authors

  • Andre A Payman
    Skull Base and Cerebrovascular Laboratory, University of California, San Francisco, California, USA; Department of Neurological Surgery, University of California, San Francisco, California, USA.
  • Ivan El-Sayed
    Department of Otolaryngology-Head and Neck Surgery, University of California-San Francisco School of Medicine, San Francisco, California, U.S.A.
  • Roberto Rodriguez Rubio
    Skull Base and Cerebrovascular Laboratory, University of California, San Francisco, California, USA; Department of Neurological Surgery, University of California, San Francisco, California, USA; Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, California, USA. Electronic address: Luis.rodriguezrubio@ucsf.edu.

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