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Artificial Intelligence and Augmented Reality in Vascular Neurosurgery.

Tristan van Doormaal1,2, Elisa Colombo3, Tim Fick4,5

  • 1Department of Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands. T.p.c.vandoormaal@umcutrecht.nl.

Acta Neurochirurgica. Supplement
|July 9, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and augmented reality (AR) are advancing vascular neurosurgery. While challenges like limited accuracy exist, these technologies pave the way for future automated treatments.

Keywords:
Artificial intelligenceAugmented realityMachine learningMixed realityVascular neurosurgery

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Area of Science:

  • Neurosurgery
  • Medical Technology
  • Computer-Assisted Surgery

Background:

  • Artificial intelligence (AI) and augmented reality (AR) are increasingly adopted in vascular neurosurgery.
  • Integrating these technologies to enhance patient outcomes remains a key challenge.

Purpose of the Study:

  • To review current research and identify developmental steps for AI and AR in vascular neurosurgery.
  • To understand the drawbacks and challenges associated with implementing these advanced technologies.

Main Methods:

  • A narrative discussion combining 5 years of peer-reviewed publications with ongoing research projects.
  • Analysis of developmental phases, drawbacks, and challenges in AI and AR integration.

Main Results:

  • Four developmental phases identified: 3D/5D segmentation, treatment planning, and treatment guidance.
  • Drawbacks include limited value in microscopic phases due to obstructions and accuracy issues.
  • Challenges stem from current computational and graphical processing limitations.

Conclusions:

  • AI and AR are rapidly evolving fields within vascular neurosurgery.
  • Despite existing drawbacks, this research supports the potential for fully automated treatment strategies in the future.