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With the continuous advancement of Artificial Intelligence (AI) technology, its applications in the medical field are expanding rapidly, particularly demonstrating significant advantages in image recognition, data analysis, and predictive modeling. In bone augmentation techniques, AI can be utilized for pre-operative assessment, postoperative monitoring, and the development of personalized treatment plans. Alveolar bone augmentation technology is a technique that increases the volume and density of alveolar bone through surgical means to support dental implants or improve the effectiveness of orthodontic treatment. The core principle is to promote the generation of new bone tissue by implanting bone replacement materials, such as artificial bone materials or autologous bone materials, thereby restoring the normal anatomical structure and function of the alveolar bone. Alveolar Bone augmentation technology relies on the regenerative ability of bone tissue. In the bone defect area, guided bone regeneration (GBR) is a technique that promotes the regeneration of bone tissue in the defect area by implanting barrier membranes and bone replacement materials. This technique is mainly used to address issues such as alveolar bone defects and insufficient alveolar bone volume, helping to restore the stability of bone structure and providing a foundation for subsequent restoration. As an effective method for bone defect repair, GBR is widely used in dentistry and maxillofacial surgery. It guides the growth of new bone through biomaterials, thereby improving bone mass. It is particularly significant in dental implants and bone augmentation surgeries. AI can assist dentists in preoperative planning of surgical pathways, thereby enhancing surgical success rates. Additionally, AI can be employed for postoperative monitoring of barrier membrane stability, bone regeneration processes, and complication risks, thereby improving treatment safety and predictability. This article provides a review of the current application of barrier membrane technologies used in the dental field and explores future research directions.

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A Review of the Current Researches on the Application of Barrier Membrane Technology in Guided Bone Regeneration in the Oral and Maxillofacial

  • 会议论文

  • 发表日期：

    2026年

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  • Chi Zhang,
  • Zhewei Liu,
  • Yakuang Zhang,
  • Xinpei Li

摘要

With the continuous advancement of Artificial Intelligence (AI) technology, its applications in the medical field are expanding rapidly, particularly demonstrating significant advantages in image recognition, data analysis, and predictive modeling. In bone augmentation techniques, AI can be utilized for pre-operative assessment, postoperative monitoring, and the development of personalized treatment plans. Alveolar bone augmentation technology is a technique that increases the volume and density of alveolar bone through surgical means to support dental implants or improve the effectiveness of orthodontic treatment. The core principle is to promote the generation of new bone tissue by implanting bone replacement materials, such as artificial bone materials or autologous bone materials, thereby restoring the normal anatomical structure and function of the alveolar bone. Alveolar Bone augmentation technology relies on the regenerative ability of bone tissue. In the bone defect area, guided bone regeneration (GBR) is a technique that promotes the regeneration of bone tissue in the defect area by implanting barrier membranes and bone replacement materials. This technique is mainly used to address issues such as alveolar bone defects and insufficient alveolar bone volume, helping to restore the stability of bone structure and providing a foundation for subsequent restoration. As an effective method for bone defect repair, GBR is widely used in dentistry and maxillofacial surgery. It guides the growth of new bone through biomaterials, thereby improving bone mass. It is particularly significant in dental implants and bone augmentation surgeries. AI can assist dentists in preoperative planning of surgical pathways, thereby enhancing surgical success rates. Additionally, AI can be employed for postoperative monitoring of barrier membrane stability, bone regeneration processes, and complication risks, thereby improving treatment safety and predictability. This article provides a review of the current application of barrier membrane technologies used in the dental field and explores future research directions.