INTEGRATING AI IN THE DIAGNOSIS AND THERAPY OF MAXILLARY BONE DEFICIENCIES
The aim of this study is to explore recent advancements in AI applications in dental diagnostics, focusing on the detection and management of maxillary bone deficiencies using panoramic radiographs and other imaging modalities and providing an overview of the materials and methods employed, presenti...
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Format: | Article |
Language: | English |
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Romanian Dental Association for Education
2024-06-01
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Series: | Romanian Journal of Medical and Dental Education |
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Online Access: | https://journal.adre.ro/integrating-ai-in-the-diagnosis-and-therapy-of-maxillary-bone-deficiencies/ |
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author | Capatina Andreea Asaftei Oana Tibeica Andreea Agop-Forna Doriana Shokraei Gholamreza Norina Forna |
author_facet | Capatina Andreea Asaftei Oana Tibeica Andreea Agop-Forna Doriana Shokraei Gholamreza Norina Forna |
author_sort | Capatina Andreea |
collection | DOAJ |
description | The aim of this study is to explore recent advancements in AI applications in dental diagnostics, focusing on the detection and management of maxillary bone deficiencies using panoramic radiographs and other imaging modalities and providing an overview of the materials and methods employed, presenting the results and discussions from existing research, and drawing conclusive insights. Results The application of AI in these studies has yielded impressive results, indicating that deep learning models can reliably identify periodontal bone loss. These findings underscore the potential of AI to significantly improve the early detection and diagnosis of periodontal disease, thereby enhancing patient outcomes. Conclusions Integrating AI in dental diagnostics not only means automating tasks but also improving their accuracy and reliability. Traditional methods for diagnosing periodontal disease involve both clinical and radiological examinations, which can be subject to observer variability and potential errors. AI systems, trained on large datasets, offer a high degree of consistency and reproducibility. The high intra- and inter-examiner correlation coefficients (ICC) reported in these studies highlight the reliability of AI-assisted diagnostics. |
format | Article |
id | doaj-art-4a694d79d5d24cb1b619f05e1a4a0743 |
institution | Kabale University |
issn | 2393-1531 2393-1108 |
language | English |
publishDate | 2024-06-01 |
publisher | Romanian Dental Association for Education |
record_format | Article |
series | Romanian Journal of Medical and Dental Education |
spelling | doaj-art-4a694d79d5d24cb1b619f05e1a4a07432025-01-08T07:57:23ZengRomanian Dental Association for EducationRomanian Journal of Medical and Dental Education2393-15312393-11082024-06-011334144INTEGRATING AI IN THE DIAGNOSIS AND THERAPY OF MAXILLARY BONE DEFICIENCIESCapatina Andreea0Asaftei Oana1Tibeica Andreea2Agop-Forna Doriana3Shokraei Gholamreza4Norina Forna5“Gr. T. Popa" U.M.Ph. - Iași, Romania, Faculty of Dentistry, Department of Implantology, Removable Dentures, Dentures Technology“Gr. T. Popa" U.M.Ph. - Iași, Romania, Faculty of Dentistry, Department of Implantology, Removable Dentures, Dentures Technology“Gr. T. Popa" U.M.Ph. - Iași, Romania, Faculty of Dentistry, Department of Implantology, Removable Dentures, Dentures Technology“Gr. T. Popa" U.M.Ph. - Iași, Romania, Faculty of Dentistry, Department of SurgeryGr. T. Popa" U.M.Ph. - Iași, Romania ,PhD student“Gr. T. Popa" U.M.Ph. - Iași, Romania, Faculty of Dentistry, Department of Implantology, Removable Dentures, Dentures TechnologyThe aim of this study is to explore recent advancements in AI applications in dental diagnostics, focusing on the detection and management of maxillary bone deficiencies using panoramic radiographs and other imaging modalities and providing an overview of the materials and methods employed, presenting the results and discussions from existing research, and drawing conclusive insights. Results The application of AI in these studies has yielded impressive results, indicating that deep learning models can reliably identify periodontal bone loss. These findings underscore the potential of AI to significantly improve the early detection and diagnosis of periodontal disease, thereby enhancing patient outcomes. Conclusions Integrating AI in dental diagnostics not only means automating tasks but also improving their accuracy and reliability. Traditional methods for diagnosing periodontal disease involve both clinical and radiological examinations, which can be subject to observer variability and potential errors. AI systems, trained on large datasets, offer a high degree of consistency and reproducibility. The high intra- and inter-examiner correlation coefficients (ICC) reported in these studies highlight the reliability of AI-assisted diagnostics.https://journal.adre.ro/integrating-ai-in-the-diagnosis-and-therapy-of-maxillary-bone-deficiencies/ai applicationsbone deficienciespanoramic radiographsai-assisted diagnostics |
spellingShingle | Capatina Andreea Asaftei Oana Tibeica Andreea Agop-Forna Doriana Shokraei Gholamreza Norina Forna INTEGRATING AI IN THE DIAGNOSIS AND THERAPY OF MAXILLARY BONE DEFICIENCIES Romanian Journal of Medical and Dental Education ai applications bone deficiencies panoramic radiographs ai-assisted diagnostics |
title | INTEGRATING AI IN THE DIAGNOSIS AND THERAPY OF MAXILLARY BONE DEFICIENCIES |
title_full | INTEGRATING AI IN THE DIAGNOSIS AND THERAPY OF MAXILLARY BONE DEFICIENCIES |
title_fullStr | INTEGRATING AI IN THE DIAGNOSIS AND THERAPY OF MAXILLARY BONE DEFICIENCIES |
title_full_unstemmed | INTEGRATING AI IN THE DIAGNOSIS AND THERAPY OF MAXILLARY BONE DEFICIENCIES |
title_short | INTEGRATING AI IN THE DIAGNOSIS AND THERAPY OF MAXILLARY BONE DEFICIENCIES |
title_sort | integrating ai in the diagnosis and therapy of maxillary bone deficiencies |
topic | ai applications bone deficiencies panoramic radiographs ai-assisted diagnostics |
url | https://journal.adre.ro/integrating-ai-in-the-diagnosis-and-therapy-of-maxillary-bone-deficiencies/ |
work_keys_str_mv | AT capatinaandreea integratingaiinthediagnosisandtherapyofmaxillarybonedeficiencies AT asafteioana integratingaiinthediagnosisandtherapyofmaxillarybonedeficiencies AT tibeicaandreea integratingaiinthediagnosisandtherapyofmaxillarybonedeficiencies AT agopfornadoriana integratingaiinthediagnosisandtherapyofmaxillarybonedeficiencies AT shokraeigholamreza integratingaiinthediagnosisandtherapyofmaxillarybonedeficiencies AT norinaforna integratingaiinthediagnosisandtherapyofmaxillarybonedeficiencies |