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Aplicações de IA na reconstrução anatómica e radiográfica endodôntica 3D: revisão integrativa
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Os artigos disponíveis na literatura científica demonstram a contribuição muito importante da inteligência artificial (IA) na endodontia, com ênfase na utilização da imagem 3D. Esses estudos destacaram como a IA avança no diagnóstico e tratamento endodôntico, aumentando sua precisão e eficiência. A IA, especialmente as redes neurais convolucionais (CNN), tenta ser explorada principalmente nas radiografias 3D em uso na endodontia. Os artigos enfatizam aplicações como a deteção automatizada de lesões periapicais, a avaliação da morfologia do canal radicular e a segmentação precisa de dentes e polpa. A tecnologia proporcionou diagnósticos precisos com planos de tratamento personalizados. A integração da IA nos fluxos de trabalho clínicos promete reduzir erros, fornecer feedback em tempo real durante procedimentos e melhorar os resultados do tratamento. Os artigos também mencionam o potencial futuro da IA em reconstruções 3D fotorrealistas e na robótica endodôntica. O objetivo deste trabalho é revisar as evidências científicas atuais sobre o uso da radiografia 3D com suporte da Inteligência Artificial (IA) como ferramenta para diagnóstico e tratamento na prática endodôntica, por meio de uma revisão narrativa integrativa. Este estudo será conduzido utilizando a "guideline PRISMA" para garantir uma seleção adequada, considerando critérios como: elegibilidade, fontes de informação, seleção dos estudos, processo de coleta de dados, e critérios de inclusão e exclusão. Especificamente, serão excluídos artigos publicados antes de 2018 e aqueles que não abordem suficientemente o uso da IA em combinação com a radiografia 3D. Além disso, serão incluídos apenas artigos em português e inglês, com intervalo de publicação entre 2018 e 2024, pesquisados em plataformas como PubMed, Web of Science, entre outras, utilizando as palavras-chave: radiografia 3D em endodontia e Inteligência Artificial em endodontia e reconstruções 3D fotorrealistas e na robótica endodôntica. Após a busca, será realizada uma análise comparativa dos estudos encontrados, discutindo as conclusões sobre a eficácia da IA aliada à radiografia 3D na melhoria dos resultados no tratamento endodôntico.
The articles demonstrate the significant contribution of Artificial Intelligence (AI) in endodontics, with an emphasis on the use of 3D imaging. These studies highlight how AI is advancing diagnostic and treatment processes in endodontics, increasing both accuracy and efficiency. AI, particularly through the use of convolutional neural networks (CNNs), is being primarily explored in 3D radiographs used in endodontics. The articles emphasize applications such as the automated detection of periapical lesions, the assessment of root canal morphology, and the precise segmentation of teeth and pulp. This technology has enabled accurate diagnoses and personalized treatment plans. The integration of AI into clinical workflows promises to reduce errors, provide real-time feedback during procedures, and improve treatment outcomes. The articles also mention the future potential of AI in photorealistic 3D reconstructions and endodontic robotics. The aim of this study is to review the current scientific evidence on the use of 3D radiography supported by Artificial Intelligence (AI) as a tool for diagnosis and treatment in endodontic practice, through an integrative narrative review. This study will be conducted using the PRISMA guidelines to ensure appropriate selection, considering criteria such as eligibility, information sources, study selection, data collection process, and inclusion and exclusion criteria. Specifically, articles published before 2018 and those that do not sufficiently address the use of AI in combination with 3D radiography will be excluded. Furthermore, only articles published in Portuguese and English between 2018 and 2024 will be included, sourced from platforms such as PubMed, Web of Science, among others, using keywords such as: 3D radiography in endodontics, Artificial Intelligence in endodontics, photorealistic 3D reconstructions, and endodontic robotics. After the search, a comparative analysis of the selected studies will be carried out, discussing conclusions regarding the effectiveness of AI combined with 3D radiography in improving outcomes in endodontic treatment.
The articles demonstrate the significant contribution of Artificial Intelligence (AI) in endodontics, with an emphasis on the use of 3D imaging. These studies highlight how AI is advancing diagnostic and treatment processes in endodontics, increasing both accuracy and efficiency. AI, particularly through the use of convolutional neural networks (CNNs), is being primarily explored in 3D radiographs used in endodontics. The articles emphasize applications such as the automated detection of periapical lesions, the assessment of root canal morphology, and the precise segmentation of teeth and pulp. This technology has enabled accurate diagnoses and personalized treatment plans. The integration of AI into clinical workflows promises to reduce errors, provide real-time feedback during procedures, and improve treatment outcomes. The articles also mention the future potential of AI in photorealistic 3D reconstructions and endodontic robotics. The aim of this study is to review the current scientific evidence on the use of 3D radiography supported by Artificial Intelligence (AI) as a tool for diagnosis and treatment in endodontic practice, through an integrative narrative review. This study will be conducted using the PRISMA guidelines to ensure appropriate selection, considering criteria such as eligibility, information sources, study selection, data collection process, and inclusion and exclusion criteria. Specifically, articles published before 2018 and those that do not sufficiently address the use of AI in combination with 3D radiography will be excluded. Furthermore, only articles published in Portuguese and English between 2018 and 2024 will be included, sourced from platforms such as PubMed, Web of Science, among others, using keywords such as: 3D radiography in endodontics, Artificial Intelligence in endodontics, photorealistic 3D reconstructions, and endodontic robotics. After the search, a comparative analysis of the selected studies will be carried out, discussing conclusions regarding the effectiveness of AI combined with 3D radiography in improving outcomes in endodontic treatment.
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Inteligência artificial Endodontia Tomografia computadorizada de feixe cônico Segmentação automatizada Diagnóstico por imagem Reconstrução 3D Artificial intelligence Endodontics Cone-beam computed tomography Automated segmentation Image diagnosis 3D reconstruction