深度学习在口腔种植影像学中的应用:研究进展与挑战

Application of Deep Learning in Dental Implant Imaging:Research Progress and Challenges

【目的】系统性地回顾和总结深度学习在口腔种植领域的研究进展,包括口腔影像处理、种植体系统检测以及口腔种植预后的应用。【方法】基于深度学习在口腔种植领域的研究,按照研究方向进行分类总结,阐述相关研究的主要研究内容及结论。【结果】深度学习技术在口腔种植领域已取得显著成就。口腔影像中的智能分割和识别技术提高了口腔医生的诊断准确性和工作效率,而口腔种植体系统的自动化检测有助于更快速地了解患者的口腔情况。此外,深度学习还在口腔种植预后的预测中发挥关键作用,帮助医生提前干预并改善治疗结果。【结论】深度学习在口腔种植领域具有巨大潜力,有助于推动口腔种植更加精准高效,为口腔医生赋能。

[Objective]This study systematically reviews and summarizes the research progress of deep learning in the field of implantology,including its applications in image processing,implant system detection,and dental implant prognosis.[Methods]The research in the field of dental implantology based on deep learning is classified and summarized according to research directions,elucidating the main research topics and conclusions.[Results]Deep learning technology has made significant achievements in the field of oral implantology.Intelligent segmentation and recognition techniques in oral imaging have improved the diagnostic accuracy and efficiency of oral healthcare professionals.Additionally,automated detection of implant systems in oral surgery aids in rapid assessing of patients'oral conditions.Furthermore,deep learning plays a crucial role in predicting oral implant outcomes,enabling healthcare providers to intervene early and enhance treatment results.[Conclusions]Deep learning holds immense potential in the field of oral implantology,facilitating more precise and efficient procedures,thereby empowering oral healthcare professionals.