Evidence map›Paper›PMID 38248216›Full record

ArticleDentistry journal2023

Automation in Dentistry with Mechanical Drills and Lasers for Implant Osteotomy: A Narrative-Scoping Review.

Gopala Krishna Ganta, Rodrigo Crespo Mosca, Ridham Varsani, Venkata Ramana Murthy, Kamala Cheruvu, Michael Lu, Praveen R Arany

Open access · goldAbstract readScoping Review
In one paragraph

Article in Dentistry journal, 2023. 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
2.1field-weighted citation impact, top 13% of its field
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, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

7 authors at 3 institutions in 2 countries.

Gopala Krishna GantaOral Biology, Biomedical Engineering & Surgery, University at Buffalo, Buffalo, NY 14214, USA.ORCID 0000-0002-1911-2980
Rodrigo Crespo MoscaOral Biology, Biomedical Engineering & Surgery, University at Buffalo, Buffalo, NY 14214, USA.
Ridham VarsaniOral Biology, Biomedical Engineering & Surgery, University at Buffalo, Buffalo, NY 14214, USA.
Venkata Ramana MurthyDepartment of Maxillofacial Surgery, Anil Nirukonda Dental College, Visakhapatnam 531162, India.
Kamala CheruvuDepartment of Orthodontics, Gandhi Institute of Technology and Management Dental College, Visakhapatnam 530045, India.
Michael LuOral Biology, Biomedical Engineering & Surgery, University at Buffalo, Buffalo, NY 14214, USA.
Praveen R AranyOral Biology, Biomedical Engineering & Surgery, University at Buffalo, Buffalo, NY 14214, USA.ORCID 0000-0002-6116-2340
University at Buffalo, State University of New York · USHealth Net · USMNR Dental College and Hospital · IN

Funding

University at Buffalo, State University of New York
6 · The paper itself

Abstract

The popularity of implants is increasing with the aging population requiring oral-dental rehabilitation. There are several critical steps in the implant workflow, including case selection, implant design, surgical procedure, biological tissue responses, and functional restoration. Among these steps, surgical osteotomy procedures are a crucial determinant of clinical success. This brief review was aimed at outlining the current state of the field in automation-assisted implant surgical osteotomy technologies. A broad search of the literature was performed to identify current literature. The results are outlined in three broad categories: semi-automated static (image-guided) or dynamic (navigation-assisted) systems, and fully-automated robotic systems. As well as the current mechanical rotary approaches, the literature supporting the use of lasers in further refinement of these approaches is reviewed. The advantages and limitations of adopting autonomous technologies in practical clinical dental practices are discussed. In summary, advances in clinical technologies enable improved precision and efficacious clinical outcomes with implant dentistry. Hard-tissue lasers offer further advancements in precision, improved biological responses, and favorable clinical outcomes that require further investigation.

Indexed as

automationimplantslasersosteotomyrobotics

Identifiers

PMID38248216
PMCPMC10814723
OpenAlexW4390405110

What OpenQuestion holds

Textmetadata
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.