Stereotactic Neurosurgical Robotics With Real-Time Patient Tracking: A Cadaveric Study.

Journal: Operative neurosurgery (Hagerstown, Md.)
Published Date:

Abstract

BACKGROUND: Robotic neurosurgery may improve the accuracy, speed, and availability of stereotactic procedures. We recently developed a computer vision and artificial intelligence-driven frameless stereotaxy for nonimmobilized patients, creating an opportunity to develop accurate and rapidly deployable robots for bedside cranial intervention.

Authors

  • Faith C Robertson
    Department of Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Kyle C Wu
    Harvard Medical School, Boston, Massachusetts, USA.
  • Raahil M Sha
    Zeta Surgical Inc., Boston, Massachusetts, USA.
  • Jose M Amich
    Zeta Surgical Inc., Boston, Massachusetts, USA.
  • Avinash Lal
    Zeta Surgical Inc., Boston, Massachusetts, USA.
  • Benjamin H Lee
    Zeta Surgical Inc., Boston, Massachusetts, USA.
  • Ramez W Kirollos
    Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
  • Min Wei Chen
    Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
  • William B Gormley
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.