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 |
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| Online Access: | https://journals.lww.com/10.4103/jpbs.jpbs_1097_24 |
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| _version_ | 1841544178007277568 |
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| author | Mohammad Haider |
| author_facet | Mohammad Haider |
| author_sort | Mohammad Haider |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-f869cddc30764f68ae0271b10d5b5dfc |
| institution | Kabale University |
| issn | 0976-4879 0975-7406 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Pharmacy and Bioallied Sciences |
| spelling | doaj-art-f869cddc30764f68ae0271b10d5b5dfc2025-01-12T14:04:23ZengWolters Kluwer Medknow PublicationsJournal of Pharmacy and Bioallied Sciences0976-48790975-74062024-12-0116Suppl 4S3089S309110.4103/jpbs.jpbs_1097_24Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning ApproachMohammad HaiderThis 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.https://journals.lww.com/10.4103/jpbs.jpbs_1097_24artificial intelligenceclassificationdental cariesdetection |
| spellingShingle | Mohammad Haider Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach Journal of Pharmacy and Bioallied Sciences artificial intelligence classification dental caries detection |
| title | Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach |
| title_full | Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach |
| title_fullStr | Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach |
| title_full_unstemmed | Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach |
| title_short | Developing an AI-Powered Algorithm for Automated Detection and Classification of Dental Caries from Intraoral Radiographs: A Machine Learning Approach |
| title_sort | developing an ai powered algorithm for automated detection and classification of dental caries from intraoral radiographs a machine learning approach |
| topic | artificial intelligence classification dental caries detection |
| url | https://journals.lww.com/10.4103/jpbs.jpbs_1097_24 |
| work_keys_str_mv | AT mohammadhaider developinganaipoweredalgorithmforautomateddetectionandclassificationofdentalcariesfromintraoralradiographsamachinelearningapproach |