Evidence map›Paper›PMID 37937680›Full record

ArticleDental press journal of orthodontics2023

Assessing the reliability of ChatGPT: a content analysis of self-generated and self-answered questions on clear aligners, TADs and digital imaging.

Orlando Motohiro Tanaka, Gil Guilherme Gasparello, Giovani Ceron Hartmann, Fernando Augusto Casagrande, Matheus Melo Pithon

Abstract read
In one paragraph

Article in Dental press journal of orthodontics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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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

5 authors.

Orlando Motohiro TanakaPontifícia Universidade Católica do Paraná, Orthodontics (Curitiba/PR, Brazil).ORCID http://orcid.org/0000-0002-1052-7872
Gil Guilherme GasparelloPontifícia Universidade Católica do Paraná, Orthodontics (Curitiba/PR, Brazil).ORCID http://orcid.org/0000-0002-8955-6448
Giovani Ceron HartmannPontifícia Universidade Católica do Paraná, Orthodontics (Curitiba/PR, Brazil).ORCID http://orcid.org/0000-0001-9750-0121
Fernando Augusto CasagrandePontifícia Universidade Católica do Paraná, Orthodontics (Curitiba/PR, Brazil).ORCID http://orcid.org/0009-0009-8662-0502
Matheus Melo PithonSouthwest Bahia State University , Orthodontics (Jequié/BH, Brazil).ORCID http://orcid.org/0000-0002-8418-4139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionArtificial Intelligence (AI) is a tool that is already part of our reality, and this is an opportunity to understand how it can be useful in interacting with patients and providing valuable information about orthodontics.

objectiveThis study evaluated the accuracy of ChatGPT in providing accurate and quality information to answer questions on Clear aligners, Temporary anchorage devices and Digital imaging in orthodontics.

methodsforty-five questions and answers were generated by the ChatGPT 4.0, and analyzed separately by five orthodontists. The evaluators independently rated the quality of information provided on a Likert scale, in which higher scores indicated greater quality of information (1 = very poor; 2 = poor; 3 = acceptable; 4 = good; 5 = very good). The Kruskal-Wallis H test (p< 0.05) and post-hoc pairwise comparisons with the Bonferroni correction were performed.

resultsFrom the 225 evaluations of the five different evaluators, 11 (4.9%) were considered as very poor, 4 (1.8%) as poor, and 15 (6.7%) as acceptable. The majority were considered as good [34 (15,1%)] and very good [161 (71.6%)]. Regarding evaluators' scores, a slight agreement was perceived, with Fleiss's Kappa equal to 0.004.

conclusionsChatGPT has proven effective in providing quality answers related to clear aligners, temporary anchorage devices, and digital imaging within the context of interest of orthodontics.

Indexed as

Artificial IntelligenceOrthodontic Appliances, RemovableHumansOrthodontistsReproducibility of Results

Identifiers

PMID37937680
PMCPMC10627416

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.