Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects
ABSTRACTBackground Artificial intelligence (AI) applications in dental restorative procedures have significantly developed over recent years. However, there is a lack of documentation regarding the types of AI used in tooth reconstruction.Types of Studies Reviewed Studies using AI in tooth reconstru...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Journal of the California Dental Association |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19424396.2023.2199910 |
| _version_ | 1797271660609404928 |
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| author | Reinhard Chun Wang Chau Khaing Myat Thu Richard Tai Chiu Hsung Walter Yu Hang Lam |
| author_facet | Reinhard Chun Wang Chau Khaing Myat Thu Richard Tai Chiu Hsung Walter Yu Hang Lam |
| author_sort | Reinhard Chun Wang Chau |
| collection | DOAJ |
| description | ABSTRACTBackground Artificial intelligence (AI) applications in dental restorative procedures have significantly developed over recent years. However, there is a lack of documentation regarding the types of AI used in tooth reconstruction.Types of Studies Reviewed Studies using AI in tooth reconstruction were electronically searched over three databases PubMed, Cochrane library, and Google Scholar. The relevancy of theme tooth reconstruction was prioritized in searching. Only original research was included without the restriction of publication time or any filters.Results A total of 18 studies were included in this review: 5 reported programmable AI systems based on mathematical models such as statistical estimation, 9 studies used biogeneric tooth libraries, and 4 presented the deep learning models.Practical Implications AI has gained significant progress over the past two decades as a powerful tool for automated tooth reconstruction. However, further studies are required to compare different forms of AIs and to assess their clinical performance in the reconstruction of occlusal surfaces. |
| first_indexed | 2024-03-07T14:11:42Z |
| format | Article |
| id | doaj.art-4c56e4c22f7b4146a92ccc20cd270885 |
| institution | Directory Open Access Journal |
| issn | 1942-4396 |
| language | English |
| last_indexed | 2024-03-07T14:11:42Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of the California Dental Association |
| spelling | doaj.art-4c56e4c22f7b4146a92ccc20cd2708852024-03-06T16:08:24ZengTaylor & Francis GroupJournal of the California Dental Association1942-43962023-12-0151110.1080/19424396.2023.2199910Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and ProspectsReinhard Chun Wang Chau0Khaing Myat Thu1Richard Tai Chiu Hsung2Walter Yu Hang Lam3Faculty of Dentistry, The University of Hong Kong, Hong Kong, ChinaFaculty of Dentistry, The University of Hong Kong, Hong Kong, ChinaFaculty of Dentistry, The University of Hong Kong, Hong Kong, ChinaFaculty of Dentistry, The University of Hong Kong, Hong Kong, ChinaABSTRACTBackground Artificial intelligence (AI) applications in dental restorative procedures have significantly developed over recent years. However, there is a lack of documentation regarding the types of AI used in tooth reconstruction.Types of Studies Reviewed Studies using AI in tooth reconstruction were electronically searched over three databases PubMed, Cochrane library, and Google Scholar. The relevancy of theme tooth reconstruction was prioritized in searching. Only original research was included without the restriction of publication time or any filters.Results A total of 18 studies were included in this review: 5 reported programmable AI systems based on mathematical models such as statistical estimation, 9 studies used biogeneric tooth libraries, and 4 presented the deep learning models.Practical Implications AI has gained significant progress over the past two decades as a powerful tool for automated tooth reconstruction. However, further studies are required to compare different forms of AIs and to assess their clinical performance in the reconstruction of occlusal surfaces.https://www.tandfonline.com/doi/10.1080/19424396.2023.2199910Artificial intelligencecomputer neural networksDentistry 4.0prosthodonticsrestorative dentistry |
| spellingShingle | Reinhard Chun Wang Chau Khaing Myat Thu Richard Tai Chiu Hsung Walter Yu Hang Lam Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects Journal of the California Dental Association Artificial intelligence computer neural networks Dentistry 4.0 prosthodontics restorative dentistry |
| title | Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects |
| title_full | Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects |
| title_fullStr | Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects |
| title_full_unstemmed | Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects |
| title_short | Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects |
| title_sort | teeth reconstruction using artificial intelligence trends perspectives and prospects |
| topic | Artificial intelligence computer neural networks Dentistry 4.0 prosthodontics restorative dentistry |
| url | https://www.tandfonline.com/doi/10.1080/19424396.2023.2199910 |
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