Evidence map›Paper›PMID 41186150›Full record

ReviewAustralian dental journal2025

Dynamic and Robotic Computer-Assisted Implant Surgery-A Possible Workflow for the Future?

Yulan Wang, Ting Xia, Sebastian Kühl, Valentin Herber, Michael M Bornstein

Abstract readReview
In one paragraph

Review in Australian dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yulan WangState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.ORCID 0000-0003-0502-6931
Ting XiaState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
Sebastian KühlDepartment of Oral Surgery, University Center for Dental Medicine Basel UZB, University of Basel, Basel, Switzerland.ORCID 0000-0002-3174-135X
Valentin HerberDepartment of Oral Surgery, University Center for Dental Medicine Basel UZB, University of Basel, Basel, Switzerland.ORCID 0000-0002-8278-6857
Michael M BornsteinDepartment of Research, University Center for Dental Medicine Basel UZB, University of Basel, Basel, Switzerland.ORCID 0000-0002-7773-8957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital technologies are reshaping dental implantology, with dynamic navigation and robotic systems offering high implant placement accuracy within clinically acceptable error ranges, the latter often achieving slightly higher accuracy. These systems enhance surgical accuracy and minimise trauma; however, high costs, extended preparation time, steep learning curves and uncertain patient acceptance limit their widespread adoption. This review summarises current principles, applications, benefits and limitations of dynamic navigation and robotic computer-assisted implant surgery (d-CAIS and r-CAIS), highlighting the need for clinicians to refine system proficiency and adapt their roles for future implant treatment procedures.

Indexed as

Dental Implantation, EndosseousRobotic Surgical ProceduresSurgery, Computer-AssistedWorkflowDental ImplantsHumansDental Implantsdental implantdental roboticsdigitalizationdimensional measurement accuracydynamic navigation

Identifiers

PMID41186150
PMCPMC12747632

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.