Evidence map›Paper›PMID 42569050›Full record

ArticleInternational journal of dentistry2026

AI Integration in Brazilian Master's Curricula and Its Implications in Dental Education.

Jessica Nobrega Dantas, Marco Antonio Dias da Silva

Abstract read
In one paragraph

Article in International journal of dentistry, 2026. 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

2 authors.

Jessica Nobrega DantasAcademic Unity of Dentistry, Federal University of Campina Grande, Av. Universitária, s/n - Santa Cecilia, Patos, PB, 58708-110, Brazil, ufcg.edu.br.ORCID https://orcid.org/0009-0009-9462-9478
Marco Antonio Dias da SilvaAcademic Unity of Dentistry, Federal University of Campina Grande, Av. Universitária, s/n - Santa Cecilia, Patos, PB, 58708-110, Brazil, ufcg.edu.br.ORCID https://orcid.org/0000-0002-2774-4769

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of artificial intelligence (AI) into dental education is an issue capable of empowering professionals and revolutionizing patient outcomes. Nevertheless, there is a lack of data regarding the depth of AI adoption within Brazilian Dental Master's Programs. This research aimed to assess the availability of AI-related content in Brazilian Master's Programs. A total of 92 master's programs were analyzed using the governmental Sucupira database. The assessment considered the official program quality ratings, geographic regions, the type of master's, and the administrative category. Within the 2161 courses examined, AI-related content was identified in only 13 programs. An association was observed between the best programs and the inclusion of AI into the curriculum (

Indexed as

artificial intelligencecurriculum reformeducational technologypostgraduate educationteacher training

Identifiers

PMID42569050
PMCPMC13449034

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.