植入
鼻窦提升术
窦(植物学)
医学
牙种植体
触觉技术
外科
生物医学工程
计算机科学
人工智能
植物
生物
属
作者
YaXin Bai,Tao Chen,Mei Yang,Yuanding Huang,Peng Xu,Tao Chen
摘要
ABSTRACT Objectives This study evaluated the effectiveness of force‐feedback–based autonomous dental implant robotic systems combined with osseodensification (OD) for transcrestal sinus floor elevation (TSFE), to understand patterns of force‐feedback curves, visualize the TSFE process through mechanical vision, and offer new perspectives on surgical strategies. Materials and Methods The included patients required simultaneous implant placement and TSFE. Preoperative planning was performed, and during surgery, using an OD drill, the robotic arm was guided to create a microfracture on the sinus floor, elevate the sinus membrane, and place the implant, all under the surgeon's supervision. Postoperative cone‐beam computed tomography evaluated sinus lift and implant accuracy. The visual analog scale was used to measure patient‐reported outcomes. Mechanical curves were plotted using extracted force‐feedback values. Data are reported as mean ± standard deviation and Pearson's correlation for linear relationships ( p < 0.05 was statistically significant). Results Overall, 17 patients (18 implants) were included, with a 94.4% implant retention rate at 6 months postoperatively. The Fz force‐feedback curve showed a critical peak followed by a sharp drop at the sinus‐floor breakthrough point and a gradual rise followed by a steep decrease as the bone graft entered the sinus cavity. Cortical bone density at the sinus floor positively correlated with force feedback ( p < 0.05). Conclusions Force‐feedback–based implant robotics combined with OD is an innovative and reliable approach for TSFE. Integrating mechanical vision with force‐feedback curves allows for precise identification of microfracture points and safe sinus membrane elevation, overcoming the limitations of traditional blind techniques and enhancing procedural safety and predictability. Trial Registration Chinese Clinical Trial Registry: ChiCTR2300072248
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