Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric Dentistry
<b>Background/Objectives</b>: Generative artificial intelligence (AI) such as ChatGPT has developed rapidly in recent years, and in the medical field, its usefulness for diagnostic assistance has been reported. However, there are few reports of AI use in dental fields. <b>Methods&l...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/14/24/2818 |
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| author | Satoru Kusaka Tatsuya Akitomo Masakazu Hamada Yuria Asao Yuko Iwamoto Meiko Tachikake Chieko Mitsuhata Ryota Nomura |
| author_facet | Satoru Kusaka Tatsuya Akitomo Masakazu Hamada Yuria Asao Yuko Iwamoto Meiko Tachikake Chieko Mitsuhata Ryota Nomura |
| author_sort | Satoru Kusaka |
| collection | DOAJ |
| description | <b>Background/Objectives</b>: Generative artificial intelligence (AI) such as ChatGPT has developed rapidly in recent years, and in the medical field, its usefulness for diagnostic assistance has been reported. However, there are few reports of AI use in dental fields. <b>Methods</b>: We created 20 questions that we had encountered in clinical pediatric dentistry, and collected the responses to these questions from three types of generative AI. The responses were evaluated on a 5-point scale by six pediatric dental specialists using the Global Quality Scale. <b>Results</b>: The average scores were >3 for the three types of generated AI tools that we tested; the overall average was 3.34. Although the responses for questions related to “consultations from guardians” or “systemic diseases” had high scores (>3.5), the score for questions related to “dental abnormalities” was 2.99, which was the lowest among the four categories. <b>Conclusions</b>: Our results show the usefulness of generative AI tools in clinical pediatric dentistry, indicating that these tools will be useful assistants in the dental field. |
| format | Article |
| id | doaj-art-5ea5d39c8ea74a118fd7deeca8c0739e |
| institution | DOAJ |
| issn | 2075-4418 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj-art-5ea5d39c8ea74a118fd7deeca8c0739e2025-08-20T02:57:07ZengMDPI AGDiagnostics2075-44182024-12-011424281810.3390/diagnostics14242818Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric DentistrySatoru Kusaka0Tatsuya Akitomo1Masakazu Hamada2Yuria Asao3Yuko Iwamoto4Meiko Tachikake5Chieko Mitsuhata6Ryota Nomura7Department of Pediatric Dentistry, Hiroshima University Hospital, Hiroshima 734-8551, JapanDepartment of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, JapanDepartment of Oral & Maxillofacial Oncology and Surgery, Graduate School of Dentistry, The University of Osaka, Osaka 565-0871, JapanDepartment of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, JapanDepartment of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, JapanDepartment of Pediatric Dentistry, Hiroshima University Hospital, Hiroshima 734-8551, JapanDepartment of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, JapanDepartment of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan<b>Background/Objectives</b>: Generative artificial intelligence (AI) such as ChatGPT has developed rapidly in recent years, and in the medical field, its usefulness for diagnostic assistance has been reported. However, there are few reports of AI use in dental fields. <b>Methods</b>: We created 20 questions that we had encountered in clinical pediatric dentistry, and collected the responses to these questions from three types of generative AI. The responses were evaluated on a 5-point scale by six pediatric dental specialists using the Global Quality Scale. <b>Results</b>: The average scores were >3 for the three types of generated AI tools that we tested; the overall average was 3.34. Although the responses for questions related to “consultations from guardians” or “systemic diseases” had high scores (>3.5), the score for questions related to “dental abnormalities” was 2.99, which was the lowest among the four categories. <b>Conclusions</b>: Our results show the usefulness of generative AI tools in clinical pediatric dentistry, indicating that these tools will be useful assistants in the dental field.https://www.mdpi.com/2075-4418/14/24/2818pediatric dentistrynatural language processingartificial intelligence |
| spellingShingle | Satoru Kusaka Tatsuya Akitomo Masakazu Hamada Yuria Asao Yuko Iwamoto Meiko Tachikake Chieko Mitsuhata Ryota Nomura Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric Dentistry Diagnostics pediatric dentistry natural language processing artificial intelligence |
| title | Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric Dentistry |
| title_full | Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric Dentistry |
| title_fullStr | Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric Dentistry |
| title_full_unstemmed | Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric Dentistry |
| title_short | Usefulness of Generative Artificial Intelligence (AI) Tools in Pediatric Dentistry |
| title_sort | usefulness of generative artificial intelligence ai tools in pediatric dentistry |
| topic | pediatric dentistry natural language processing artificial intelligence |
| url | https://www.mdpi.com/2075-4418/14/24/2818 |
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