Evaluating the Accuracy of Artificial Intelligence-Based Chatbots on Pediatric Dentistry Questions in the Korean National Dental Board Exam
10.5933/JKAPD.2024.51.3.299
- Author:
Yun Sun JUNG
1
;
Yong Kwon CHAE
;
Mi Sun KIM
;
Hyo-Seol LEE
;
Sung Chul CHOI
;
Ok Hyung NAM
Author Information
1. Department of Pediatric Dentistry, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Republic of Korea
- Publication Type:Original Article
- From:
Journal of Korean Academy of Pediatric Dentistry
2024;51(3):299-309
- CountryRepublic of Korea
- Language:English
-
Abstract:
This study aimed to assess the competency of artificial intelligence (AI) in pediatric dentistry and compare it with that of dentists. We used open-source data obtained from the Korea Health Personnel Licensing Examination Institute. A total of 32 item multiple-choice pediatric dentistry exam questions were included. Two AI-based chatbots (ChatGPT 3.5 and Gemini) were evaluated. Each chatbot received the same questions seven times in separate chat sessions initiated on April 25, 2024. The accuracy was assessed by measuring the percentage of correct answers, and consistency was evaluated using Cronbach’s alpha coefficient. Both ChatGPT 3.5 and Gemini demonstrated similar accuracy, with no significant differences observed between them. However, neither chatbot achieved the minimum passing score set by the Pediatric Dentistry National Examination. However, both chatbots exhibited acceptable consistency in their responses. Within the limits of this study, both AI-based chatbots did not sufficiently answer the pediatric dentistry exam questions. This finding suggests that pediatric dentists should be aware of the advantages and limitations of this new tool and effectively utilize it to promote patient health.
