Innovation and application of Large Language Models (LLMs) in dentistry – a scoping review
Abstract Objective Large Language Models (LLMs) have revolutionized healthcare, yet their integration in dentistry remains underexplored. Therefore, this scoping review aims to systematically evaluate current literature on LLMs in dentistry. Data sources The search covered PubMed, Scopus, IEEE Xplor...
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2024-12-01
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| Series: | BDJ Open |
| Online Access: | https://doi.org/10.1038/s41405-024-00277-6 |
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| _version_ | 1850064535344381952 |
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| author | Fahad Umer Itrat Batool Nighat Naved |
| author_facet | Fahad Umer Itrat Batool Nighat Naved |
| author_sort | Fahad Umer |
| collection | DOAJ |
| description | Abstract Objective Large Language Models (LLMs) have revolutionized healthcare, yet their integration in dentistry remains underexplored. Therefore, this scoping review aims to systematically evaluate current literature on LLMs in dentistry. Data sources The search covered PubMed, Scopus, IEEE Xplore, and Google Scholar, with studies selected based on predefined criteria. Data were extracted to identify applications, evaluation metrics, prompting strategies, and deployment levels of LLMs in dental practice. Results From 4079 records, 17 studies met the inclusion criteria. ChatGPT was the predominant model, mainly used for post-operative patient queries. Likert scale was the most reported evaluation metric, and only two studies employed advanced prompting strategies. Most studies were at level 3 of deployment, indicating practical application but requiring refinement. Conclusion LLMs showed extensive applicability in dental specialties; however, reliance on ChatGPT necessitates diversified assessments across multiple LLMs. Standardizing reporting practices and employing advanced prompting techniques are crucial for transparency and reproducibility, necessitating continuous efforts to optimize LLM utility and address existing challenges. |
| format | Article |
| id | doaj-art-de8e6da2d37c49cf9d5c08b39c4f6fa6 |
| institution | DOAJ |
| issn | 2056-807X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | BDJ Open |
| spelling | doaj-art-de8e6da2d37c49cf9d5c08b39c4f6fa62025-08-20T02:49:16ZengNature Publishing GroupBDJ Open2056-807X2024-12-011011610.1038/s41405-024-00277-6Innovation and application of Large Language Models (LLMs) in dentistry – a scoping reviewFahad Umer0Itrat Batool1Nighat Naved2Associate Professor, Operative Dentistry & Endodontics, Aga Khan University HospitalResident, Operative Dentistry & Endodontics, Aga Khan University HospitalResident, Operative Dentistry & Endodontics, Aga Khan University HospitalAbstract Objective Large Language Models (LLMs) have revolutionized healthcare, yet their integration in dentistry remains underexplored. Therefore, this scoping review aims to systematically evaluate current literature on LLMs in dentistry. Data sources The search covered PubMed, Scopus, IEEE Xplore, and Google Scholar, with studies selected based on predefined criteria. Data were extracted to identify applications, evaluation metrics, prompting strategies, and deployment levels of LLMs in dental practice. Results From 4079 records, 17 studies met the inclusion criteria. ChatGPT was the predominant model, mainly used for post-operative patient queries. Likert scale was the most reported evaluation metric, and only two studies employed advanced prompting strategies. Most studies were at level 3 of deployment, indicating practical application but requiring refinement. Conclusion LLMs showed extensive applicability in dental specialties; however, reliance on ChatGPT necessitates diversified assessments across multiple LLMs. Standardizing reporting practices and employing advanced prompting techniques are crucial for transparency and reproducibility, necessitating continuous efforts to optimize LLM utility and address existing challenges.https://doi.org/10.1038/s41405-024-00277-6 |
| spellingShingle | Fahad Umer Itrat Batool Nighat Naved Innovation and application of Large Language Models (LLMs) in dentistry – a scoping review BDJ Open |
| title | Innovation and application of Large Language Models (LLMs) in dentistry – a scoping review |
| title_full | Innovation and application of Large Language Models (LLMs) in dentistry – a scoping review |
| title_fullStr | Innovation and application of Large Language Models (LLMs) in dentistry – a scoping review |
| title_full_unstemmed | Innovation and application of Large Language Models (LLMs) in dentistry – a scoping review |
| title_short | Innovation and application of Large Language Models (LLMs) in dentistry – a scoping review |
| title_sort | innovation and application of large language models llms in dentistry a scoping review |
| url | https://doi.org/10.1038/s41405-024-00277-6 |
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