ArticleAsian spine journal2026
Recent advances in robotic-assisted laminectomy in spine surgery: a narrative review.
Article in Asian spine journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Fully Automated Segmentation of Anatomical Subregions of the Thoracolumbar Spine on Computed Tomography.Journal of imaging informatics in medicine · 2026Article
- Application of Ultrasonic Osteotome in Segmental Resection and Removal of Cage During Revision Surgery for Intervertebral Disc Space Infection After Lumbar Fusion.Orthopaedic surgery · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robotic-assisted laminectomy (RAL) is an emerging technique in spine surgery that can potentially improve precision, safety, and efficiency. While robotic-assisted pedicle screw placement is well established, RAL remains in early stages with varied methodologies and primarily pre-clinical validation. This narrative review evaluates current evidence on RAL, focusing on bone cutting tools, resection strategies, state recognition techniques for real-time identification of bone type and surgical endpoints, and clinical applications to inform future advancements. A comprehensive literature search was conducted using PubMed, Embase, and Cochrane databases with relevant keywords and operators to maximize sensitivity. Twenty-seven studies met predefined inclusion and exclusion criteria. Evaluated cutting tools included burrs, drills, and ultrasonic osteotomes. Burrs and drills provided superior state recognition feedback, while ultrasonic devices offered better force control and reduced thermal damage. Cyclic dorsal-ventral drilling was found to be superior to layer-by-layer resection for ultrasonic cutting. The only clinical study of RAL in a human patient is a case report demonstrating robotic-guided, surgeon-operated laminar bone removal. While RAL shows promise in improving surgical accuracy, the lack of in vivo data and standardized methodology remains a key barrier to clinical adoption. Future research should prioritize comparative evaluation of cutting modalities, clinical validation in human subjects, and long-term outcome studies to support the broader integration of RAL into spine surgery.
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Registered trials
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