Evidence map›Paper›PMID 40382588›Full record

ArticleBMC oral health2025

Artificial intelligence in pediatric dental trauma: do artificial intelligence chatbots address parental concerns effectively?

Mihriban Gökcek Taraç, Tuğba Nale

Erratum issuedAbstract read
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  2. SOS Dental Trauma-An Artificial Intelligence Chatbot via WhatsApp for Guiding Patients After Dental Trauma.Dental traumatology : official publication of International Association for Dental Traumatology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Mihriban Gökcek TaraçDepartment of Pediatric Dentistry, Karabuk University School of Dentistry, Karabük, Turkey. gokcekmihriban@karabuk.edu.tr.
Tuğba NaleAntalya Oral and Dental Health Hospital, Antalya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study focused on two Artificial Intelligence chatbots, ChatGPT 3.5 and Google Gemini, as the primary tools for answering questions related to traumatic dental injuries. The aim of this study to evaluate the reliability, understandability, and applicability of the responses provided by these chatbots to commonly asked questions from parents of children with dental trauma.

methodsThe case scenarios were developed based on frequently asked questions that parents commonly ask their dentists or Artificial Intelligence chatbots regarding dental trauma in children. The quality and accuracy of the information obtained from the chatbots were assessed using the DISCERN Instrument. The understandability and actionability of the responses obtained from the Artificial Intelligence chatbots were assessed using the Patient Education Materials Assessment Tool for Printed Materials. In statistical analysis; categorical variables were analyzed in terms of frequency and percentage. For numerical variables, skewness and kurtosis values were calculated to assess normal distribution.

resultsBoth Artificial Intelligence chatbots performed similarly, although Google Gemini provided higher quality and more reliable responses. Based on the mean scores, ChatGPT 3.5 had a higher understandability. Both chatbots demonstrated similar levels of performance in terms of actionability.

conclusionArtificial Intelligence applications can serve as a helpful starting point for parents seeking information and reassurance after dental trauma. However, they should not replace professional dental consultations, as their reliability is not absolute. Parents should use Artificial Intelligence applications as complementary resources and seek timely professional advice for accurate diagnosis and treatment.

Indexed as

Artificial IntelligenceParentsTooth InjuriesChildComprehensionGenerative Artificial IntelligenceHumansReproducibility of ResultsArtificial IntelligenceChat GPTDiscern InstrumentPatient Education Materials Assessment Tool for Printed Materials

Identifiers

PMID40382588
PMCPMC12085849

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.