Evidence map›Paper›PMID 42380926›Full record

ArticleBMC oral health2026

Can artificial intelligence applications be utilised in the management of dental trauma? A comparison of ChatGPT, Gemini, and DeepSeek.

Dolu Kaya

Abstract readComparative Study
In one paragraph

Article in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Dolu KayaDepartment of Endodontics, Faculty of Dentistry, Nevşehir Hacı Bektaş Veli University, Nevşehir, Türkiye. dtdolu@gmail.com.ORCID http://orcid.org/0000-0001-8466-2391

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the accuracy and reliability of the responses provided by the artificial intelligence applications (chatbots) ChatGPT 4o Plus, Google Gemini Pro, and DeepSeek V3 to questions regarding traumatic dental injuries.

methods14 open-ended questions were prepared to ask the chatbots regarding crown-root fractures, luxation injuries, and avulsion. Each question was asked to each application three times a day for three days. Responses were evaluated using the Global Quality Score (GQS) and modified DISCERN (mDISCERN) scales. Data were analysed using the SPSS programme. The Mann-Whitney U and Kruskal-Wallis tests were used in the evaluation. The significance level was set at p < 0.05.

resultsThe average GQS scores for DeepSeek, ChatGPT, and Google Gemini were 4.26, 4.36, and 4.43, respectively. The mean mDISCERN scores were 3.86, 4.01, and 3.85, respectively. A significant difference was found between the GQS and mDISCERN scores for the chatbots (p < 0.05). There was no significant difference between the GQS and mDISCERN scores for crown-root fractures (p > 0.05). While there was no significant difference in GQS scores for luxation injuries and avulsion (p > 0.05), a significant difference was found in mDISCERN scores (p < 0.05). Gemini received the highest score for most questions regarding GQS, while ChatGPT received the highest score regarding mDISCERN.

conclusionsThe findings of this study indicate that all three chatbots provide valuable support to dentists in the management of dental trauma. Although chatbots appear to facilitate emergency management in dental trauma, they are still under development, and additional information sources should also be used.

Indexed as

Artificial IntelligenceTooth InjuriesGenerative Artificial IntelligenceHumansLarge Language ModelsReproducibility of ResultsTooth AvulsionTooth CrownTooth FracturesTooth RootArtificial intelligenceChatGPTDeepseekEndodonticsGeminiLarge language modelsTooth injuries

Identifiers

PMID42380926
PMCPMC13587415

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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.