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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Main Authors: Capatina Andreea, Asaftei Oana, Tibeica Andreea, Agop-Forna Doriana, Shokraei Gholamreza, Norina Forna
Format: Article
Language:English
Published: Romanian Dental Association for Education 2024-06-01
Series:Romanian Journal of Medical and Dental Education
Subjects:
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/
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AT tibeicaandreea integratingaiinthediagnosisandtherapyofmaxillarybonedeficiencies
AT agopfornadoriana integratingaiinthediagnosisandtherapyofmaxillarybonedeficiencies
AT shokraeigholamreza integratingaiinthediagnosisandtherapyofmaxillarybonedeficiencies
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