Siluvai Sibyl, Narayanan Vivek, Ramachandran Vinoo Subramaniam, Lazar Victor Rakesh
Department of Public Health Dentistry, SRM Kattankulathur Dental College and Hospital, SRM Institute of Science and Technology, Tamilnadu, India.
Department of Oral and Maxillofacial Surgery, SRM Kattankulathur Dental College and Hospital, SRM Institute of Science and Technology, Tamilnadu, India.
Healthc Inform Res. 2025 Apr;31(2):189-199. doi: 10.4258/hir.2025.31.2.189. Epub 2025 Apr 30.
The integration of large language models (LLMs), particularly those based on the generative pre-trained transformer (GPT) architecture, has begun to revolutionize various fields, including dentistry. Despite these promising applications, the use of GPT in dentistry presents several challenges. Ongoing research and the development of robust ethical frameworks are essential to mitigate these issues and enhance the responsible deployment of GPT technologies in clinical settings. Hence, this systematic review aims to explore the trends, applications, strengths, and challenges associated with the use of GPT in dentistry.
Articles were selected if they contained detailed information on the application of GPT in dentistry. The search strategy used in systematic reviews follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Our search of databases and other sources yielded a total of 704 studies. After removing duplicates and conducting a full-text screening, 16 articles were included in the review. The methodological quality of the research was evaluated using the Critical Appraisal Skills Programme (CASP) checklist.
Out of a total of 91 articles published on GPT in dentistry, 20 were editorials and 11 were narrative reviews; these were excluded, leaving 60 original research articles for further analysis. The articles were assessed based on the type of results they provided. Ultimately, 16 articles that reported positive findings with robust methodology were included in this review.
The results highlight mixed responses; therefore, further research on integration into clinical workflows must be conducted with extensive methodological rigor.
大语言模型（LLMs）的整合，尤其是基于生成式预训练变换器（GPT）架构的模型，已开始彻底改变包括牙科在内的各个领域。尽管有这些前景广阔的应用，但GPT在牙科领域的使用仍存在若干挑战。持续的研究以及稳健的伦理框架的制定对于缓解这些问题并加强GPT技术在临床环境中的负责任应用至关重要。因此，本系统评价旨在探讨与GPT在牙科领域应用相关的趋势、应用情况、优势及挑战。
若文章包含有关GPT在牙科领域应用的详细信息，则予以入选。系统评价中使用的检索策略遵循系统评价和Meta分析的首选报告项目（PRISMA）指南。我们对数据库及其他来源进行检索，共获得704项研究。在去除重复项并进行全文筛选后，16篇文章被纳入本评价。使用批判性评估技能计划（CASP）清单对研究的方法学质量进行评估。
在总共91篇发表的关于GPT在牙科领域应用的文章中，20篇为社论，11篇为叙述性综述；这些均被排除，剩下60篇原创研究文章进行进一步分析。根据文章所提供结果的类型对其进行评估。最终，本评价纳入了16篇采用稳健方法且报告了积极结果的文章。
结果凸显了不同的反应；因此，必须以广泛的方法学严谨性对整合到临床工作流程中的情况进行进一步研究。
