JHSM
Journal of Health Sciences and Medicine

Journal of Health Sciences and Medicine (JHSM) is an unbiased, peer-reviewed, and open access international medical journal. The Journal publishes interesting clinical and experimental research conducted in all fields of medicine, interesting case reports, and clinical images, invited reviews, editorials, letters, comments, and related knowledge.

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Original Article
ChatGPT in dentomaxillofacial radiology education
Abstract
Aims: Artificial intelligence refers to the ability of computer systems or machines to perform cognitive functions and tasks that are similar to humans’. The aim of this study is to assess the knowledge and interpretative abilities of ChatGPT-versions by administering a dentomaxillofacial-radiology exam, comparing its performance with that of dentistry-students in Türkiye, and questioning the effectiveness of different languages.
Methods: It is a descriptive research comparing the data of ChatGPT versions 3.5 and 4 in both Turkish and English.
Results: Firstly 20 test-questions were evaluated. There is a significant difference(p<0.05) between the ChatGPT answer-sheets. ChatGPT-4 in English demonstrated the highest performance. Answer-sheets of chatGPT-4 in Turkish and English demonstrated the best performance with 5 correct answers in open-ended-questions. Based on the answers of 89 students to 20 test-questions, a class-profile was created. ChatGPT answer-sheets and class-profile were analyzed(p<0.05). Class-profile ranked first as ChatGPT-4 in English. A significant difference was found between the answer-sheets of ChatGPT and the class-profile for open-ended-questions(p<0.10). The most successful results were obtained from ChatGPT-4 in Turkish and English, as well as the class-profile.
Conclusion: It is important to mention that ChatGPT 3.5’s knowledge and perception in the field of dentomaxillofacial radiology are not sufficient, particularly for use in examinations.

Keywords : Artificial intelligence, dentistry, education, oral radiology

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Article available in :
Volume 7, Issue 2, 2024
Page : 224-229
https://doi.org/10.32322/jhsm.1419341
Article Information
Received : 14 Jan 2024
Accepted : 18 Mar 2024
Published : 25 Mar 2024
Corresponding Author :

Hilal Peker Öztürk: Department of Dentomaxillofacial Radiology, Gülhane Dentistry Faculty, University of Health Sciences, Ankara, Turkiye

[email protected]
Citation : Öztürk Peker H, Aysever H, Şenel B, et al. ChatGPT in dentomaxillofacial radiology education. J Health Sci Med. 2024;7(2):224-229.

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