Unlocking the Potentials of Large Language Models in Orthodontics: A Scoping Review
(1) Background: In recent years, large language models (LLMs) such as ChatGPT have gained significant attention in various fields, including dentistry. This scoping review aims to examine the current applications and explore potential uses of LLMs in the orthodontic domain, shedding light on how the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/11/11/1145 |
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| author | Jie Zheng Xiaoqian Ding Jingya Jane Pu Sze Man Chung Qi Yong H. Ai Kuo Feng Hung Zhiyi Shan |
| author_facet | Jie Zheng Xiaoqian Ding Jingya Jane Pu Sze Man Chung Qi Yong H. Ai Kuo Feng Hung Zhiyi Shan |
| author_sort | Jie Zheng |
| collection | DOAJ |
| description | (1) Background: In recent years, large language models (LLMs) such as ChatGPT have gained significant attention in various fields, including dentistry. This scoping review aims to examine the current applications and explore potential uses of LLMs in the orthodontic domain, shedding light on how they might improve dental healthcare. (2) Methods: We carried out a comprehensive search in five electronic databases, namely PubMed, Scopus, Embase, ProQuest and Web of Science. Two authors independently screened articles and performed data extraction according to the eligibility criteria, following the PRISMA-ScR guideline. The main findings from the included articles were synthesized and analyzed in a narrative way. (3) Results: A total of 706 articles were searched, and 12 papers were eventually included. The applications of LLMs include improving diagnostic and treatment efficiency in orthodontics as well as enhancing communication with patients. (4) Conclusions: There is emerging research in countries worldwide on the use of LLMs in orthodontics, suggesting an upward trend in their acceptance within this field. However, the potential application of LLMs remains in its early stage, with a noticeable lack of extensive studies and tailored products to address specific clinical needs. |
| format | Article |
| id | doaj-art-b51683fcbc8e424b9a9fc15c6c0aa3ce |
| institution | OA Journals |
| issn | 2306-5354 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj-art-b51683fcbc8e424b9a9fc15c6c0aa3ce2025-08-20T02:28:07ZengMDPI AGBioengineering2306-53542024-11-011111114510.3390/bioengineering11111145Unlocking the Potentials of Large Language Models in Orthodontics: A Scoping ReviewJie Zheng0Xiaoqian Ding1Jingya Jane Pu2Sze Man Chung3Qi Yong H. Ai4Kuo Feng Hung5Zhiyi Shan6Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, ChinaDivision of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong, ChinaDivision of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong, ChinaDivision of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong, ChinaDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, ChinaApplied Oral Science & Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong, ChinaDivision of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, The University of Hong Kong, Hong Kong, China(1) Background: In recent years, large language models (LLMs) such as ChatGPT have gained significant attention in various fields, including dentistry. This scoping review aims to examine the current applications and explore potential uses of LLMs in the orthodontic domain, shedding light on how they might improve dental healthcare. (2) Methods: We carried out a comprehensive search in five electronic databases, namely PubMed, Scopus, Embase, ProQuest and Web of Science. Two authors independently screened articles and performed data extraction according to the eligibility criteria, following the PRISMA-ScR guideline. The main findings from the included articles were synthesized and analyzed in a narrative way. (3) Results: A total of 706 articles were searched, and 12 papers were eventually included. The applications of LLMs include improving diagnostic and treatment efficiency in orthodontics as well as enhancing communication with patients. (4) Conclusions: There is emerging research in countries worldwide on the use of LLMs in orthodontics, suggesting an upward trend in their acceptance within this field. However, the potential application of LLMs remains in its early stage, with a noticeable lack of extensive studies and tailored products to address specific clinical needs.https://www.mdpi.com/2306-5354/11/11/1145large language modelsorthodonticsscoping reviewgenerative AILLMsChatbot |
| spellingShingle | Jie Zheng Xiaoqian Ding Jingya Jane Pu Sze Man Chung Qi Yong H. Ai Kuo Feng Hung Zhiyi Shan Unlocking the Potentials of Large Language Models in Orthodontics: A Scoping Review Bioengineering large language models orthodontics scoping review generative AI LLMs Chatbot |
| title | Unlocking the Potentials of Large Language Models in Orthodontics: A Scoping Review |
| title_full | Unlocking the Potentials of Large Language Models in Orthodontics: A Scoping Review |
| title_fullStr | Unlocking the Potentials of Large Language Models in Orthodontics: A Scoping Review |
| title_full_unstemmed | Unlocking the Potentials of Large Language Models in Orthodontics: A Scoping Review |
| title_short | Unlocking the Potentials of Large Language Models in Orthodontics: A Scoping Review |
| title_sort | unlocking the potentials of large language models in orthodontics a scoping review |
| topic | large language models orthodontics scoping review generative AI LLMs Chatbot |
| url | https://www.mdpi.com/2306-5354/11/11/1145 |
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