Sense of touch is a crucial component of successful dental implant surgery. The ability to differentiate internal bone microstructure during the drilling process allows clinicians to make needed adjustments to “drift” during the implant osteotomy preparation. As dentists have increasingly employed computer-assisted placement with surgical guides, the neural feedback to the surgeon’s hand has decreased. The Yomi dental robot provides replacement guidance using substitutes for this haptic feedback in addition to enhanced sensory input (visual and auditory). How this combined sensory information affects the executed implant position in comparison to the planned position is the subject of this study. The goal was to design a 3D printed practice model to be used for training in Yomi robot assisted implant placement and then to evaluate how altering combinations of sensory information might affect final implant position. A printed model was created after several prototypes were tested. However, before experimental implant placement could begin, it was found that the available printing process was inconsistent. Models could not be replicated due to errors in printing. The progress in study design, process for model design and creation and technical limitations are described in this paper.
| Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/49034 |
| Date | 24 June 2024 |
| Creators | Johnson, Ryan David Patrick |
| Contributors | Price, Albert |
| Source Sets | Boston University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
Page generated in 0.0017 seconds