• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   DSpace Home
  • Fakülteler
  • Diş Hekimliği Fakültesi
  • Klinik Bilimler Bölümü
  • Bildiri Koleksiyonu
  • View Item
  •   DSpace Home
  • Fakülteler
  • Diş Hekimliği Fakültesi
  • Klinik Bilimler Bölümü
  • Bildiri Koleksiyonu
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

The performance of AI on the dentistry specialization exam

View/Open

Tam Metin / Full Text (156.1Kb)

Date

2024

Author

Deveci, Burak Ahmet
Kocuk, Merve
Şahin, Merve
Yanıkoğlu, Funda

Metadata

Show full item record

Citation

Deveci BA, Kocuk M, Şahin M, Yanıkoğlu F. The performance of AI on the dentistry specialization exam. International Dental Journal, 2024, 74(1): S114-S115.

Abstract

This study aims to compare the performance of four large language models (LLMs), the Generative Pre-trained Transformer (GPT)-3.5, ChatGPT4, Google Gemini, and Microsoft Copilot on the restorative dentistry-related questions from Dentistry Specialization Exam (DUS).

Source

International Dental Journal

Volume

74

Issue

1

URI

https://www.sciencedirect.com/science/article/pii/S0020653924011134?via%3Dihub
https://doi.org/10.1016/j.identj.2024.07.921
https://hdl.handle.net/20.500.12780/1058

Collections

  • Bildiri Koleksiyonu [13]



DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 




| Instruction | Guide | Contact |

DSpace@Kent

by OpenAIRE
Advanced Search

sherpa/romeo

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeInstitution AuthorThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeInstitution Author

My Account

LoginRegister

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 


|| Guide || Instruction || Library || İstanbul Kent University || OAI-PMH ||

İstanbul Kent University, İstanbul, Turkey
If you find any errors in content, please contact:

Creative Commons License
İstanbul Kent University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace@Kent:


DSpace 6.2

tarafından İdeal DSpace hizmetleri çerçevesinde özelleştirilerek kurulmuştur.