Cited by 221Dental Radiography and ImagingArtificial Intelligence in Healthcare and EducationScientific and Engineering Research Topics

Dentronics: Towards robotics and artificial intelligence in dentistry

Grischke, Jasmin, Johannsmeier, Lars, Eich, Lukas, Griga, Leif, Haddadin, Sami·2020·Dental Materials

Abstract

Objectives This paper provides an overview of existing applications and concepts of robotic systems and artificial intelligence in dentistry. This review aims to provide the community with novel inputs and argues for an increased utilization of these recent technological developments, referred to as Dentronics, in order to advance dentistry. Methods First, background on developments in robotics, artificial intelligence (AI) and machine learning (ML) are reviewed that may enable novel assistive applications in dentistry (Sec A). Second, a systematic technology review that evaluates existing state-of-the-art applications in AI, ML and robotics in the context of dentistry is presented (Sec B). Results A systematic literature research in pubmed yielded in a total of 558 results. 41 studies related to ML, 53 studies related to AI and 49 original research papers on robotics application in dentistry were included. ML and AI have been applied in dental research to analyze large amounts of data to eventually support dental decision making, diagnosis, prognosis and treatment planning with the help of data-driven analysis algorithms based on machine learning. So far, only few robotic applications have made it to reality, mostly restricted to pilot use cases. Significance The authors believe that dentistry can greatly benefit from the current rise of digital human-centered automation and be transformed towards a new robotic, ML and AI-enabled era. In the future, Dentronics will enhance r…

Integrity signals

Registry

Crossref · 10.1016/j.dental.2020.03.021

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Robotic technologies in dentistry can be used for maxillofacial surgery, tooth preparation, testing of toothbrushes, root canal treatment and plaque removal, orthodontics and jaw movement, tooth arrangement for full dentures, X-ray imaging radiography, and swab sampling.

    “Robotic technologies in dentistry can be used for maxillofacial surgery [70], tooth preparation [71], testing of toothbrushes [72], root canal treatment and plaque removal [73], orthodontics and jaw movement [74], tooth arrangement for full dentures [75], X-ray imaging radiography [76], swab sampling [77], etc.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Grischke, J., Johannsmeier, L., Eich, L., Griga, L., & Haddadin, S.
Affiliations
Technical University of Munich (DE)
Corresponding author
Grischke, Jasmin
Venue
Dental Materials
Publisher
Elsevier BV
Published
2020-06
Volume
36
Issue
6
Pages
765-778
ISSN
0109-5641 (ISSN-L)
OpenAlex
W3020710342
Cited by
221
References
5
Citations by year
2026: 24 · 2025: 38 · 2024: 52 · 2023: 53 · 2022: 27 · 2021: 19 · 2020: 7
FWCI
6.51
Type
journal article
Language
en
Open access
closed
Locations
  • Dental Materials (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Dentistry › Oral Surgery › Dental Radiography and Imaging
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Dentistry › Periodontics › Scientific and Engineering Research Topics
Keywords
dental robotics, artificial intelligence in dentistry, machine learning, dental diagnosis, treatment planning, prognosis, medical robots, disease prediction
MeSH terms
Algorithms, Artificial Intelligence, Dentistry, Humans, Robotics, Reproducibility of Results

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review