Evidence map›Paper›PMID 40025853›Full record

ArticleInternational endodontic journal2026

Evaluation of the performance of ChatGPT-4 and ChatGPT-4o as a learning tool in endodontics.

Esra Arılı Öztürk, Ceren Turan Gökduman, Burhan Can Çanakçi

Abstract read
In one paragraph

Article in International endodontic journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Performance Comparison of a Domain-Specific Chatbot and General-Purpose Chatbots in Dental Traumatology.Dental traumatology : official publication of International Association for Dental Traumatology · 2026
    Article
  3. Accuracy and Temporal Consistency of ChatGPT and Gemini in Responding to Textbook and Patient-Oriented Dental Bleaching Questions: A Multi-Session Comparative Study.Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Esra Arılı ÖztürkDepartment of Endodontics, Faculty of Dentistry, Trakya University, Edirne, Turkey.ORCID https://orcid.org/0000-0003-2137-4442
Ceren Turan GökdumanDepartment of Endodontics, Faculty of Dentistry, Trakya University, Edirne, Turkey.ORCID https://orcid.org/0000-0002-8628-1020
Burhan Can ÇanakçiDepartment of Endodontics, Faculty of Dentistry, Trakya University, Edirne, Turkey.ORCID https://orcid.org/0000-0001-8872-5513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study was to evaluate the accuracy and consistency of responses given by two different versions of Chat Generative Pre-trained Transformer (ChatGPT), ChatGPT-4, and ChatGPT-4o, to multiple-choice questions prepared from undergraduate endodontic education topics at different times of the day and on different days. METHODOLOGY: In total, 60 multiple-choice, text-based questions from 6 topics of undergraduate endodontic education were prepared. Each question was asked to ChatGPT-4 and ChatGPT-4o 3 times a day (morning, noon, and evening) and for 3 consecutive days. The accuracy and consistency of AIs were compared using SPSS and R programs (p < .05, 95% confidence interval).

resultsThe accuracy rate of ChatGPT-4o (92.8%) was significantly higher than that of ChatGPT-4 (81.7%; p < .001). The question groups affected the accuracy rates of both AIs (p < .001). The times at which the questions were asked did not affect the accuracy of either AI (p > .05). There was no statistically significant difference in the consistency rate between ChatGPT-4 and ChatGPT-4o (p = .123). The question groups did not affect the consistency of either AI, too (p > .05).

conclusionsAccording to the results of this study, the accuracy of ChatGPT-4o was better than that of ChatGPT-4. These findings demonstrate that AI chatbots can be used in dental education. However, it is also necessary to consider the limitations and potential risks associated with AI.

Indexed as

Educational MeasurementEducation, DentalEndodonticsGenerative Artificial IntelligenceHumansLearningaccuracyartificial intelligenceChatGPTconsistencyeducationendodontic

Identifiers

PMID40025853
PMCPMC13158531

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.