ReviewJournal of robotic surgery2026
Robot-assisted Computer-Implant surgery : A comprehensive review of system architecture, clinical accuracy, and emerging technologies.
Review in Journal of robotic surgery, 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
5 authors.
Funding
Abstract
Advances in intelligent technologies have endowed robots with unprecedented advantages in medical applications. In dental implant surgery, the growing demand for precision and comprehensive procedural visualization has spurred the emergence and development of robotic computer-assisted implant surgery (r-CAIS). This structured narrative review systematically introduces the system architecture, classification, and clinical workflow of r-CAIS, and provides a thorough analysis of its technical advantages over static and dynamic computer-assisted surgery. Unlike a formal systematic review, this article employs a qualitative evidence synthesis without quantitative meta-analysis or formal risk-of-bias assessment, given the substantial methodological heterogeneity of the available literature. By synthesizing existing in vivo and in vitro evidence, it evaluates the implant precision of r-CAIS through comparisons with conventional techniques and across different robotic systems. Furthermore, the review identifies key factors influencing accuracy-spanning patient, clinician, and system dimensions-and proposes corresponding optimization strategies. Finally, it discusses the major challenges hindering the broader clinical adoption of r-CAIS and outlines promising future directions for research and technological innovation in this field.
Indexed as
Identifiers
42640525What 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.