ReviewOrthopadie (Heidelberg, Germany)2026
[Computer-assisted spine surgery : Current status and future perspectives].
Review in Orthopadie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Computer-assisted spine surgery has evolved from fluoroscopy-based techniques to advanced navigation and robotic systems. These technologies aim to improve intraoperative precision, enhance instrument guidance, and increase reproducibility of surgical workflows. Modern platforms integrate preoperative planning, intraoperative imaging, and real-time tracking to support surgical decision-making. As adoption increases, their role in clinical practice continues to be critically evaluated. This review provides an overview of the development and current state of computer-assisted and robotic spine surgery, outlining key technological principles and clinical applications. In addition, it addresses current challenges, including workflow integration, resource requirements, and limitations of existing systems. Finally, emerging developments such as automation, improved imaging integration, and data-driven approaches are discussed to contextualize the potential future impact of these technologies on spine care.
Indexed as
Identifiers
42678426What OpenQuestion holds
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.