Artificial intelligence in dentistry and dental biomaterials
Artificial intelligence (AI) technology is being used in various fields and its use is increasingly expanding in dentistry. The key aspects of AI include machine learning (ML), deep learning (DL), and neural networks (NNs). The aim of this review is to present an overview of AI, its various aspects,...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Dental Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fdmed.2024.1525505/full |
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| author | Dinesh Rokaya Dinesh Rokaya Ahmad Al Jaghsi Ahmad Al Jaghsi Ahmad Al Jaghsi Rohan Jagtap Viritpon Srimaneepong |
| author_facet | Dinesh Rokaya Dinesh Rokaya Ahmad Al Jaghsi Ahmad Al Jaghsi Ahmad Al Jaghsi Rohan Jagtap Viritpon Srimaneepong |
| author_sort | Dinesh Rokaya |
| collection | DOAJ |
| description | Artificial intelligence (AI) technology is being used in various fields and its use is increasingly expanding in dentistry. The key aspects of AI include machine learning (ML), deep learning (DL), and neural networks (NNs). The aim of this review is to present an overview of AI, its various aspects, and its application in biomedicine, dentistry, and dental biomaterials focusing on restorative dentistry and prosthodontics. AI-based systems can be a complementary tool in diagnosis and treatment planning, result prediction, and patient-centered care. AI software can be used to detect restorations, prosthetic crowns, periodontal bone loss, and root canal segmentation from the periapical radiographs. The integration of AI, digital imaging, and 3D printing can provide more precise, durable, and patient-oriented outcomes. AI can be also used for the automatic segmentation of panoramic radiographs showing normal anatomy of the oral and maxillofacial area. Recent advancement in AI in medical and dental sciences includes multimodal deep learning fusion, speech data detection, and neuromorphic computing. Hence, AI has helped dentists in diagnosis, planning, and aid in providing high-quality dental treatments in less time. |
| format | Article |
| id | doaj-art-70ec179215b14cfda7ed9da4af17cea9 |
| institution | Kabale University |
| issn | 2673-4915 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Dental Medicine |
| spelling | doaj-art-70ec179215b14cfda7ed9da4af17cea92025-01-14T10:01:00ZengFrontiers Media S.A.Frontiers in Dental Medicine2673-49152024-12-01510.3389/fdmed.2024.15255051525505Artificial intelligence in dentistry and dental biomaterialsDinesh Rokaya0Dinesh Rokaya1Ahmad Al Jaghsi2Ahmad Al Jaghsi3Ahmad Al Jaghsi4Rohan Jagtap5Viritpon Srimaneepong6Clinical Sciences Department, College of Dentistry, Ajman University, Ajman, United Arab EmiratesCenter of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab EmiratesClinical Sciences Department, College of Dentistry, Ajman University, Ajman, United Arab EmiratesCenter of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab EmiratesDepartment of Prosthodontics, Gerodontology, and Dental Materials, Greifswald University Medicine, Greifswald, GermanyDivision of Oral and Maxillofacial Radiology, Department of Care Planning and Restorative Sciences, University of Mississippi Medical Center (UMMC) School of Dentistry, Jackson, MS, United StatesDepartment of Prosthodontics, Faculty of Dentistry, Chulalongkorn University, Bangkok, ThailandArtificial intelligence (AI) technology is being used in various fields and its use is increasingly expanding in dentistry. The key aspects of AI include machine learning (ML), deep learning (DL), and neural networks (NNs). The aim of this review is to present an overview of AI, its various aspects, and its application in biomedicine, dentistry, and dental biomaterials focusing on restorative dentistry and prosthodontics. AI-based systems can be a complementary tool in diagnosis and treatment planning, result prediction, and patient-centered care. AI software can be used to detect restorations, prosthetic crowns, periodontal bone loss, and root canal segmentation from the periapical radiographs. The integration of AI, digital imaging, and 3D printing can provide more precise, durable, and patient-oriented outcomes. AI can be also used for the automatic segmentation of panoramic radiographs showing normal anatomy of the oral and maxillofacial area. Recent advancement in AI in medical and dental sciences includes multimodal deep learning fusion, speech data detection, and neuromorphic computing. Hence, AI has helped dentists in diagnosis, planning, and aid in providing high-quality dental treatments in less time.https://www.frontiersin.org/articles/10.3389/fdmed.2024.1525505/fullartificial intelligencemachine learningdeep learningneural networksmedicinedentistry |
| spellingShingle | Dinesh Rokaya Dinesh Rokaya Ahmad Al Jaghsi Ahmad Al Jaghsi Ahmad Al Jaghsi Rohan Jagtap Viritpon Srimaneepong Artificial intelligence in dentistry and dental biomaterials Frontiers in Dental Medicine artificial intelligence machine learning deep learning neural networks medicine dentistry |
| title | Artificial intelligence in dentistry and dental biomaterials |
| title_full | Artificial intelligence in dentistry and dental biomaterials |
| title_fullStr | Artificial intelligence in dentistry and dental biomaterials |
| title_full_unstemmed | Artificial intelligence in dentistry and dental biomaterials |
| title_short | Artificial intelligence in dentistry and dental biomaterials |
| title_sort | artificial intelligence in dentistry and dental biomaterials |
| topic | artificial intelligence machine learning deep learning neural networks medicine dentistry |
| url | https://www.frontiersin.org/articles/10.3389/fdmed.2024.1525505/full |
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