7,631 research outputs found

    Dental Patient Robot

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    Moving Teeth Faster, Better and Painless. Is It Possible?

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    3D-printing techniques in a medical setting : a systematic literature review

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    Background: Three-dimensional (3D) printing has numerous applications and has gained much interest in the medical world. The constantly improving quality of 3D-printing applications has contributed to their increased use on patients. This paper summarizes the literature on surgical 3D-printing applications used on patients, with a focus on reported clinical and economic outcomes. Methods: Three major literature databases were screened for case series (more than three cases described in the same study) and trials of surgical applications of 3D printing in humans. Results: 227 surgical papers were analyzed and summarized using an evidence table. The papers described the use of 3D printing for surgical guides, anatomical models, and custom implants. 3D printing is used in multiple surgical domains, such as orthopedics, maxillofacial surgery, cranial surgery, and spinal surgery. In general, the advantages of 3D-printed parts are said to include reduced surgical time, improved medical outcome, and decreased radiation exposure. The costs of printing and additional scans generally increase the overall cost of the procedure. Conclusion: 3D printing is well integrated in surgical practice and research. Applications vary from anatomical models mainly intended for surgical planning to surgical guides and implants. Our research suggests that there are several advantages to 3D- printed applications, but that further research is needed to determine whether the increased intervention costs can be balanced with the observable advantages of this new technology. There is a need for a formal cost-effectiveness analysis

    An Integrated Computer-Aided Robotic System for Dental Implantation

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    This paper describes an integrated system for dental implantation including both preoperative planning utilizing computer-aided technology and automatic robot operation during the intra-operative stage. A novel two-step registration procedure was applied for transforming the preoperative plan to the operation of the robot, with the help of a Coordinate Measurement Machine (CMM). Experiments with a patient-specific phantom were carried out to evaluate the registration error for both position and orientation. After adopting several improvements, registration accuracy of the system was significantly improved. Sub-millimeter accuracy with the Target Registration Errors (TREs) of 0.38±0.16 mm (N=5) was achieved. The target orientation errors after registration and after phantom drilling were 0.92±0.16 ° (N=5) and 1.99±1.27 ° (N=14), respectively. These results permit the ultimate goal of an automated robotic system for dental implantation

    Image-Guided Robotic Dental Implantation With Natural-Root-Formed Implants

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    Dental implantation is now recognized as the standard of the care for tooth replacement. Although many studies show high short term survival rates greater than 95%, long term studies (\u3e 5 years) have shown success rates as low as 41.9%. Reasons affecting the long term success rates might include surgical factors such as limited accuracy of implant placement, lack of spacing controls, and overheating during the placement. In this dissertation, a comprehensive solution for improving the outcome of current dental implantation is presented, which includes computer-aided preoperative planning for better visualization of patient-specific information and automated robotic site-preparation for superior placement and orientation accuracy. Surgical planning is generated using patient-specific three-dimensional (3D) models which are reconstructed from Cone-beam CT images. An innovative image-guided robotic site-preparation system for implants insertion is designed and implemented. The preoperative plan of the implant insertion is transferred into intra-operative operations of the robot using a two-step registration procedure with the help of a Coordinate Measurement Machine (CMM). The natural-root implants mimic the root structure of natural teeth and were proved by Finite Element Method (FEM) to provide superior stress distribution than current cylinder-shape implants. However, due to their complicated geometry, manual site-preparation for these implants cannot be accomplished. Our innovative image-guided robotic implantation system provides the possibility of using this advanced type of implant. Phantom experiments with patient-specific jaw models were performed to evaluate the accuracy of positioning and orientation. Fiducial Registration Error (FRE) values less than 0.20 mm and final Target Registration Error (TRE) values after the two-step registration of 0.36±0.13 mm (N=5) were achieved. Orientation error was 1.99±1.27° (N=14). Robotic milling of the natural-root implant shape with single- and double-root was also tested, and the results proved that their complicated volumes can be removed as designed by the robot. The milling time for single- and double-root shape was 177 s and 1522 s, respectively

    Learning about tooth removal with robot technology

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    Deze PhD-thesis richt zich op een fundamenteel onderzoek van de extractieleer en maakt daarbij gebruik van robottechnologie. Het onderzoek omvat zes inhoudelijke hoofdstukken, waarin verschillende aspecten van dit onderwerp worden behandeld. Het tweede hoofdstuk analyseert de literatuur over robottechnologie in de tandheelkunde en wijst op de matige kwaliteit van beschikbare literatuur, zeker als het op klinische toepassingen aankomt. Hoofdstuk 3 biedt een overzicht van robotsystemen in alle deelgebieden van de tandheelkunde sinds 1985. Hoofdstuk 4 introduceert een meetopstelling om krachten en bewegingen bij tandextracties nauwkeurig vast te leggen, terwijl hoofdstuk 5 de resultaten van een serie experimenten voor wat betreft krachten en momenten weergeeft. Hoofdstuk 6 beschrijft het bewegingsbereik en de snelheden tijdens tandheelkundige extracties, zoals gemeten met een robotarm. Hoofdstuk 7 beschrijft de ontwikkeling en eigenschappen van een classificatiemodel voor extracties op basis van kracht- en bewegingsgegevens. De conclusie benadrukt de toenemende interesse in robotinitiatieven in de tandheelkunde, de behoefte aan wetenschappelijke validatie van de toegevoegde waarde daarvan en het potentieel van robottechnologie om ons fundamentele begrip van de extractieleer te vergroten. De studies benadrukken het belang van gegevensverzameling, analyse en samenwerking tussen verschillende disciplines om ons fundamentele begrip van extracties te verbeteren, met een focus op tandheelkundig onderwijs en uiteindelijk de patiëntenzorg

    Removal of Endodontic Fiber Posts Using Robot-Assisted Haptic Guidance: A Novel Approach

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    Introduction: Fiber posts are frequently used for the restoration of endodontically treated teeth. Such posts are typically bonded to the tooth using a composite resin system. These posts often need to be removed during endodontic retreatment. While there are many techniques to remove fiber posts, most include drilling through the post itself which can be challenging and result in a perforation or excessive tooth structure being removed. Static and dynamic guided endodontic techniques have been proposed to safely remove fiber posts. Yomi (Neocis, Inc, Miami, FL) is a haptic robot guidance system has been FDA approved to assist in placing dental implants and may be able to be used for endodontic applications. This system combines the advantages of both static and dynamic guidance. The purpose of this study was to investigate the ability and efficiency of a robot-assisted haptic guidance system to remove bonded fiber posts in endodontically treated teeth. Methods: Forty-six natural extracted single-rooted maxillary anterior teeth with straight canals were selected and endodontically treated. Following obturation, a post space was created, and fiber posts placed and bonded with resin. The teeth were then mounted in acrylic blocks simulating a maxillary arch form. Preoperative CBCT volumes were acquired. The teeth were divided into 3 groups for fiber post removal. In Group 1 the fiber posts were removed by an endodontic resident using robot-assisted haptic guidance. In Group 2 the fiber posts were removed by an experienced endodontist using a freehand technique. In Group 3 the fiber posts were removed by the endodontic resident using a freehand technique. The volume of removed tooth structure was measured and time to remove the fiber posts recorded. Post-operative CBCT volumes were acquired. ITK-SNAP semiautomatic segmentation software was used to compare pre- and post-operative CBCT images for volumetric analysis in determining the amount of tooth structure removal. The data was statistically analyzed using independent samples t-tests, one-way ANOVA, and the Tukey post-hoc procedure. Results: All teeth were included for final analyses. The mean time to remove a post in Group 1 was 33.3 seconds, Group 2 was 446.2 seconds, and Group 3 was 607.2 seconds. There was a significant difference between each group regarding the time to remove the fiber post. The mean volume of tooth structure removed in Group 1 was 10.9 mm3, Group 2 was 15.6 mm3, and Group 3 was 24.3 mm3. The difference in volume of tooth structure removed was significant between Group 1 and the two other groups. Conclusions: The removal of resin bonded fiber posts in single canal maxillary teeth is possible using a robot-assisted haptic guidance system. The robot guided system is more time efficient and results in less volume removed when removing fiber posts compared to freehand techniques. An experienced endodontist is more conservative in removing a fiber post than an endodontic resident when considering the amount of tooth structure removed

    Robotics in Dentistry : A Narrative Review

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    Background: Robotics is progressing rapidly. The aim of this study was to provide a comprehensive overview of the basic and applied research status of robotics in dentistry and discusses its development and application prospects in several major professional fields of dentistry. Methods: A literature search was conducted on databases: MEDLINE, IEEE and Cochrane Library, using MeSH terms: [“robotics” and “dentistry”]. Result: Forty-nine articles were eventually selected according to certain inclusion criteria. There were 12 studies on prosthodontics, reaching 24%; 11 studies were on dental implantology, accounting for 23%. Scholars from China published the most articles, followed by Japan and the United States. The number of articles published between 2011 and 2015 was the largest. Conclusions: With the advancement of science and technology, the applications of robots in dental medicine has promoted the development of intelligent, precise, and minimally invasive dental treatments. Currently, robots are used in basic and applied research in various specialized fields of dentistry. Automatic tooth-crown-preparation robots, tooth-arrangement robots, drilling robots, and orthodontic archwire-bending robots that meet clinical requirements have been developed. We believe that in the near future, robots will change the existing dental treatment model and guide new directions for further development
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