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Publication
A integração da robótica e da inteligência artificial na prótese dentária e implantologia oral
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Abstract(s)
Esta dissertação apresenta uma revisão narrativa estruturada sobre a integração da inteligência artificial (IA) e da robótica na medicina dentária contemporânea, com ênfase na implantologia e na reabilitação protética. A literatura publicada entre 2018 e 2025 foi recolhida nas bases PubMed, Scopus, Web of Science, IEEE Xplore e Google Scholar, depois filtrada, agrupada e analisada criticamente. Os resultados revelam uma expansão acelerada de aplicações de IA, desde redes convolucionais que detectam alterações ósseas peri-implantares até motores de design que sugerem morfologias de coroas em segundos, bem como o amadurecimento de sistemas robóticos capazes de executar osteotomias sub-milimétricas e de colocar implantes guiados. Estes avanços encurtam ciclos laboratoriais, melhoram a precisão cirúrgica e
aproximam a área do modelo 4P, preditivo, preventivo, personalizado, participativo. Persistem quatro desafios: qualidade e enviesamento dos dados, explicabilidade dos algoritmos, cibersegurança e privacidade, e necessidade de formação digital contínua dos clínicos. O trabalho apresenta recomendações práticas para enfrentar estas questões, ajudando profissionais, investigadores e decisores a levar as tecnologias emergentes do laboratório para à cadeira do paciente, mantendo padrões de ética e segurança.
This dissertation presents a structured narrative review on the integration of artificial intelligence (AI) and robotics in contemporary dental medicine, with a focus on implantology and prosthetic rehabilitation. Literature published between 2018 and 2025 was collected from PubMed, Scopus, Web of Science, IEEE Xplore, and Google Scholar, then filtered, grouped, and critically analyzed. The findings reveal a rapid expansion of AI applications, from convolutional networks detecting peri-implant bone changes to design engines suggesting crown morphologies in seconds, as well as the maturation of robotic systems capable of performing sub-millimetric osteotomies and guided implant placement. These advances shorten laboratory cycles, improve surgical precision, and bring the field closer to the 4P model: predictive, preventive, personalized, and participatory dentistry. Four key challenges remain: data quality and bias, algorithm explainability, cybersecurity and privacy, and the ongoing need for clinicians’ digital training. This work offers practical recommendations to address these issues, helping professionals, researchers, and decision-makers transition emerging technologies from the lab to the dental chair while upholding ethical and safety standards.
This dissertation presents a structured narrative review on the integration of artificial intelligence (AI) and robotics in contemporary dental medicine, with a focus on implantology and prosthetic rehabilitation. Literature published between 2018 and 2025 was collected from PubMed, Scopus, Web of Science, IEEE Xplore, and Google Scholar, then filtered, grouped, and critically analyzed. The findings reveal a rapid expansion of AI applications, from convolutional networks detecting peri-implant bone changes to design engines suggesting crown morphologies in seconds, as well as the maturation of robotic systems capable of performing sub-millimetric osteotomies and guided implant placement. These advances shorten laboratory cycles, improve surgical precision, and bring the field closer to the 4P model: predictive, preventive, personalized, and participatory dentistry. Four key challenges remain: data quality and bias, algorithm explainability, cybersecurity and privacy, and the ongoing need for clinicians’ digital training. This work offers practical recommendations to address these issues, helping professionals, researchers, and decision-makers transition emerging technologies from the lab to the dental chair while upholding ethical and safety standards.
Description
Dissertação para obtenção do grau de Mestre no Instituto Universitário Egas Moniz
Keywords
Inteligência artificial Robótica Implantologia Próteses dentárias