Influence of dental implant clinical experience on the accuracy of robot-assisted immediate implant placement: an in vitro study.

Objectives To assess the accuracy and effectiveness among operators with different levels of experience in a robot-assisted immediate implant surgery.Materials And Methods The study included four participants who had received dental training at the same institution but have varying levels of clinical experience in implant dentistry, denoted as undergraduate student (UG), dental resident (DR), specialist with no robot experience (IS) and specialist with robot experience (RS). Following comprehensive theoretical training in robot-assisted implant operation, each operator participated in five robotic-assisted implant procedures at 21 sites, resulting in the implant surgery of a total of 20 implants. Subsequently, the accuracy of the implants was assessed by analyzing the preoperative planning and the postoperative CBCT scans, and the time required for each procedure was also recorded.Results Angular deviation in UG, DR, IS and RS group was 0.82 ± 0.27°, 0.55 ± 0.27°, 0.83 ± 0.27°, and 0.56 ± 0.36°, respectively. The total deviation of the implant platform point was 0.28 ± 0.10 mm, 0.26 ± 0.16 mm, 0.34 ± 0.08 mm and 0.31 ± 0.06 mm, respectively. The total deviation of the apical point was 0.30 ± 0.08 mm, 0.25 ± 0.18 mm, 0.31 ± 0.09 mm, and 0.31 ± 0.05 mm, respectively. The time spent was 10.37 ± 0.57 min, 10.56 ± 1.77 min, 9.93 ± 0.78 min, and 11.76 ± 0.78 min for each operator. As the number of operations increased, the operation time decreased, but there was no significant difference in implant accuracy between the different groups.Conclusions Within the scope of this study, robot-assisted implant surgery demonstrated high accuracy, with no significant differences in performance between operators with varying levels of clinical experience or implant robot-user experience. Furthermore, the learning curve for robotic implant surgery is steep and consistent.Clinical Relevance Robot-assisted implant surgery demonstrates consistent high accuracy across operators of varying clinical and robotic experience levels, highlighting its potential to standardize procedures and enhance predictability in clinical outcomes.