Evidence map›Paper›PMID 40771769›Full record

ArticleDigital health

Knowledge mapping of artificial intelligence in prosthodontics during 1995-2024: A bibliometric analysis.

Wenqi Hu

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Wenqi HuDental Disease Prevention and Treatment Institute of Huangpu District, Shanghai, China.ORCID https://orcid.org/0000-0002-0396-6957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) applications in prosthodontics has increased significantly in recent years, including diagnosis, maxillofacial prosthesis, and implantology. However, there is no bibliometric analysis in this research field. This study aims to provide a comprehensive overview of the knowledge structure and research hotspots of AI in prosthodontics through bibliometrics. Methods: As of August 26, 2024, articles on AI and prosthodontics in the Web of Science Core Collection (WoSCC) were collected. VOSviewer 1.6.20, and CiteSpace 6.3.R1 and R 4.3.3 were used to conduct this bibliometric analysis. Results: Totally, 214 articles published in 97 journals from 1061 authors were included in our study. The top contributors to this field were the United States, China, and Italy. Harvard University and Peking University are the main research institutions. The journal with the most publications was Conclusions: The study conducted a bibliometric analysis of over 20 years of AI and prosthodontics research, identifying the countries, institutions, authors, and journals, involved in this field. The current major topics were the accuracy of AI in diagnosis, and the AI and dental implants placement. AI is further useful for prediction of implant success and fabrication of digitally smart maxillofacial prosthesis.

Indexed as

Artificial intelligencebibliometric analysisCiteSpaceprosthodonticsVOSviewers

Identifiers

PMID40771769
PMCPMC12326098

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.