Evidence map›Paper›PMID 34222490›Full record

ReviewBioMed research international2021

Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care.

Samar Adel, Abbas Zaher, Nadia El Harouni, Adith Venugopal, Pratik Premjani, Nikhilesh Vaid

Abstract readReview
In one paragraph

Review in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  8. Article
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  12. Article
  13. Artificial Intelligence in Medicine and Dentistry.Acta stomatologica Croatica · 2023
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Severity of mandibular arch crowding in different sagittal malocclusions.Journal of advanced pharmaceutical technology & research · 2022
    Article
  19. Association of crossbite with vertical skeletal growth patterns: A retrospective study.Journal of advanced pharmaceutical technology & research · 2022
    Article
  20. 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

6 authors.

Samar AdelFaculty of Dentistry, Alexandria University, Alexandria, Egypt.ORCID https://orcid.org/0000-0002-1431-8947
Abbas ZaherFaculty of Dentistry, Alexandria University, Alexandria, Egypt.ORCID https://orcid.org/0000-0003-0567-2060
Nadia El HarouniFaculty of Dentistry, Alexandria University, Alexandria, Egypt.ORCID https://orcid.org/0000-0001-7783-3236
Adith VenugopalDepartment of Orthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.ORCID https://orcid.org/0000-0002-7945-8799
Pratik PremjaniSwami Vivekananda Subharati University, Meerut, India.ORCID https://orcid.org/0000-0002-2889-6027
Nikhilesh VaidEuropean University College, DHCC, Dubai, UAE.ORCID https://orcid.org/0000-0001-8915-6033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The last decade (2010-2021) has witnessed the evolution of robotic applications in orthodontics. This review scopes and analyzes published orthodontic literature in eight different domains: (1) robotic dental assistants; (2) robotics in diagnosis and simulation of orthodontic problems; (3) robotics in orthodontic patient education, teaching, and training; (4) wire bending and customized appliance robotics; (5) nanorobots/microrobots for acceleration of tooth movement and for remote monitoring; (6) robotics in maxillofacial surgeries and implant placement; (7) automated aligner production robotics; and (8) TMD rehabilitative robotics. A total of 1,150 records were searched, of which 124 potentially relevant articles were retrieved in full. 87 studies met the selection criteria following screening and were included in the scoping review. The review found that studies pertaining to arch wire bending and customized appliance robots, simulative robots for diagnosis, and surgical robots have been important areas of research in the last decade (32%, 22%, and 16%). Rehabilitative robots and nanorobots are quite promising and have been considerably reported in the orthodontic literature (13%, 9%). On the other hand, assistive robots, automated aligner production robots, and patient robots need more scientific data to be gathered in the future (1%, 1%, and 6%). Technological readiness of different robotic applications in orthodontics was further assessed. The presented eight domains of robotic technologies were assigned to an estimated technological readiness level according to the information given in the publications. Wire bending robots, TMD robots, nanorobots, and aligner production robots have reached the highest levels of technological readiness: 9; diagnostic robots and patient robots reached level 7, whereas surgical robots and assistive robots reached lower levels of readiness: 4 and 3, respectively.

Indexed as

Stomatognathic SystemAutomationEquipment DesignForecastingHumansOrthodonticsOrthodontic WiresPattern Recognition, AutomatedRoboticsSoftware

Identifiers

PMID34222490
PMCPMC8225419

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.