Streamlining microsurgical procedures: a phantom trial of an artificial intelligence-driven robotic microscope assistant.

Journal: Neurosurgical focus
Published Date:

Abstract

OBJECTIVE: Surgical microscopes are essential in microsurgery for magnification, focus, and illumination. However, surgeons must frequently adjust the microscope manually-typically via a handgrip or mouth switch-to maintain a well-centered view that ensures clear visibility of the operative field and surrounding anatomy. These frequent adjustments can disrupt surgical workflow, increase cognitive load, and divert surgeons' focus from their surgical task. To address these challenges, the authors introduced and evaluated a novel robotic assistance system that leverages AI to automatically detect the surgical area of interest by localizing surgical instrument tips and robotically recentering the microscope's field of view.

Authors

  • Michael Murek
    Department of Neurosurgery, Inselspital, University Hospital Bern, Bern, Switzerland.
  • Markus Philipp
    2Carl Zeiss Meditec AG, Oberkochen.
  • Marielena Gutt-Will
    1Department of Neurosurgery, Inselspital, University Hospital Bern, Bern, Switzerland.
  • Andrea Maria Mathis
    1Department of Neurosurgery, Inselspital, University Hospital Bern, Bern, Switzerland.
  • David Bervini
    Department of Neurosurgery, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Stefan Saur
    2Carl Zeiss Meditec AG, Oberkochen.
  • Franziska Mathis-Ullrich
    Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), 76131, Karlsruhe, Germany.
  • Andreas Raabe
    Department of Neurosurgery, Inselspital, Bern University Hospital, Bern, Switzerland.