Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach
This systematic review aims to assess the diagnostic accuracy of artificial intelligence (AI) models specifically developed for detecting and classifying dental caries. A comprehensive electronic literature search was performed on the PubMed, Web of Science, SCOPUS, and Embase databases. The search...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2024-12-01
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| Series: | Journal of Pharmacy and Bioallied Sciences |
| Subjects: | |
| Online Access: | https://journals.lww.com/10.4103/jpbs.jpbs_1097_24 |
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| Summary: | This systematic review aims to assess the diagnostic accuracy of artificial intelligence (AI) models specifically developed for detecting and classifying dental caries. A comprehensive electronic literature search was performed on the PubMed, Web of Science, SCOPUS, and Embase databases. The search yielded a total of 397 results. We examined 10 articles that satisfied the selection criteria. In summary, AI-based models show high diagnostic accuracy in recognizing dental caries by analyzing dental radiography pictures. |
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| ISSN: | 0976-4879 0975-7406 |