ArticleActa neurochirurgica. Supplement2025
Artificial Intelligence and Augmented Reality in Vascular Neurosurgery.
Article in Acta neurochirurgica. Supplement, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Next viewer-development of a software for the spatial computing data glasses apple vision pro for patient-specific preoperative planning and navigation.Frontiers in digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe increasing adoption of artificial intelligence (AI) and augmented reality (AR) within vascular neurosurgery has become a prominent trend. The primary challenge before us is seamlessly integrating these advanced concepts and developing them further to improve patient outcomes.
methodsWe combined peer-reviewed publications of our research group over the past 5 years with current research projects to form the basis of a narrative discussion, aiming to better understand drawbacks, challenges, and the developmental steps to be followed.
resultsFour developmental phases were identified: (1) the integration of AI and AR to create adequate three-dimensional (3D) segmentations; (2) adding flow and pulsatility data to create 5D segmentations; (3) treatment planning in these models; and (4) treatment guidance using these models. The main drawback described was the limited added value in the microscopic phase of neurovascular surgery due to view obstructions and a lack of accuracy. The main challenge described was the current limitation in computational and graphical processing capabilities.
conclusionAlthough drawbacks and challenges still exist, AI and AR are rapidly developing topics within vascular neurosurgery. The research in this field could lay the groundwork for fully automatized treatment strategies in the future.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.