Application and Challenges of Artificial Intelligence in Different Branches of Dentistry
Introduction: Artificial Intelligence (AI) is transforming dental practice through its ability to analyze, learn, and support clinical decisions. By enhancing diagnostic precision and treatment planning, AI tools are revolutionizing patient care. Despite its potential, implementation faces obstacle...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2025-04-01
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| Series: | Journal of Craniomaxillofacial Research |
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| Online Access: | https://jcr.tums.ac.ir/index.php/jcr/article/view/528 |
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| author | Ali Mirzaei Melika Mollaei Anahita Lotfizadeh Mehdi Aryana Alireza Ebrahimpour |
| author_facet | Ali Mirzaei Melika Mollaei Anahita Lotfizadeh Mehdi Aryana Alireza Ebrahimpour |
| author_sort | Ali Mirzaei |
| collection | DOAJ |
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Introduction: Artificial Intelligence (AI) is transforming dental practice through its ability to analyze, learn, and support clinical decisions. By enhancing diagnostic precision and treatment planning, AI tools are revolutionizing patient care. Despite its potential, implementation faces obstacles including ethical considerations and algorithmic limitations. This review examines AI applications across dental specialties.
Materials and Methods: This narrative review was conducted by analyzing recent studies on AI applications in dentistry. The literature was sourced from reputable databases, including PubMed and Scopus, focusing on AI-driven diagnostic and therapeutic advancements in oral and maxillofacial surgery, radiology, restorative dentistry, orthodontics, periodontics, endodontics, prosthodontics, and forensic dentistry.
Results: AI demonstrates remarkable capabilities across dental fields. Deep learning systems excel in detecting caries, periapical lesions, and fractures through radiological analysis. Orthodontic applications include automated cephalometric analysis and treatment simulation. In restorative dentistry, AI enhances cavity detection and restoration assessment. Maxillofacial applications include surgical outcome prediction and pathology identification. Forensic applications facilitate age and gender determination through radiographic analysis. Current challenges include data security, algorithmic bias, and ethical compliance.
Conclusion: While AI shows promise in advancing dental diagnostics and treatment accuracy, successful clinical integration requires addressing privacy concerns, establishing regulatory standards, and developing comprehensive professional training programs.
Keywords: Artificial intelligence; Dentistry; Diagnostic imaging; Machine learning; Digital dentistry.
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| format | Article |
| id | doaj-art-0f6a385f22fe44b9b076f1c6df80f421 |
| institution | OA Journals |
| issn | 2345-5489 2345-6213 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Journal of Craniomaxillofacial Research |
| spelling | doaj-art-0f6a385f22fe44b9b076f1c6df80f4212025-08-20T02:30:56ZengTehran University of Medical SciencesJournal of Craniomaxillofacial Research2345-54892345-62132025-04-0111410.18502/jcr.v11i4.18709Application and Challenges of Artificial Intelligence in Different Branches of DentistryAli Mirzaei0Melika Mollaei1Anahita Lotfizadeh2Mehdi Aryana3Alireza Ebrahimpour4Student Research Committee, Faculty of Dentistry, Mashhad University of Medical Sciences, Mashhad, Iran.Student Research Committee, Faculty of Dentistry, Mazandaran University of Medical Sciences, Sari, Iran.Student Research Committee, Faculty of Dentistry, Mazandaran University of Medical Sciences, Sari, Iran.Student Research Committee, Faculty of Dentistry, Mashhad University of Medical Sciences, Mashhad, Iran.Department of Oral and Maxillofacial Surgery, Student Research Committee, Faculty of Dentistry, Mashhad University of Medical Sciences, Mashhad, Iran. Introduction: Artificial Intelligence (AI) is transforming dental practice through its ability to analyze, learn, and support clinical decisions. By enhancing diagnostic precision and treatment planning, AI tools are revolutionizing patient care. Despite its potential, implementation faces obstacles including ethical considerations and algorithmic limitations. This review examines AI applications across dental specialties. Materials and Methods: This narrative review was conducted by analyzing recent studies on AI applications in dentistry. The literature was sourced from reputable databases, including PubMed and Scopus, focusing on AI-driven diagnostic and therapeutic advancements in oral and maxillofacial surgery, radiology, restorative dentistry, orthodontics, periodontics, endodontics, prosthodontics, and forensic dentistry. Results: AI demonstrates remarkable capabilities across dental fields. Deep learning systems excel in detecting caries, periapical lesions, and fractures through radiological analysis. Orthodontic applications include automated cephalometric analysis and treatment simulation. In restorative dentistry, AI enhances cavity detection and restoration assessment. Maxillofacial applications include surgical outcome prediction and pathology identification. Forensic applications facilitate age and gender determination through radiographic analysis. Current challenges include data security, algorithmic bias, and ethical compliance. Conclusion: While AI shows promise in advancing dental diagnostics and treatment accuracy, successful clinical integration requires addressing privacy concerns, establishing regulatory standards, and developing comprehensive professional training programs. Keywords: Artificial intelligence; Dentistry; Diagnostic imaging; Machine learning; Digital dentistry. https://jcr.tums.ac.ir/index.php/jcr/article/view/528Artificial intelligenceDentistryDiagnostic imagingMachine learningDigital dentistry |
| spellingShingle | Ali Mirzaei Melika Mollaei Anahita Lotfizadeh Mehdi Aryana Alireza Ebrahimpour Application and Challenges of Artificial Intelligence in Different Branches of Dentistry Journal of Craniomaxillofacial Research Artificial intelligence Dentistry Diagnostic imaging Machine learning Digital dentistry |
| title | Application and Challenges of Artificial Intelligence in Different Branches of Dentistry |
| title_full | Application and Challenges of Artificial Intelligence in Different Branches of Dentistry |
| title_fullStr | Application and Challenges of Artificial Intelligence in Different Branches of Dentistry |
| title_full_unstemmed | Application and Challenges of Artificial Intelligence in Different Branches of Dentistry |
| title_short | Application and Challenges of Artificial Intelligence in Different Branches of Dentistry |
| title_sort | application and challenges of artificial intelligence in different branches of dentistry |
| topic | Artificial intelligence Dentistry Diagnostic imaging Machine learning Digital dentistry |
| url | https://jcr.tums.ac.ir/index.php/jcr/article/view/528 |
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