Osseointegration in Dental Implants: A Literature Review

Nandal, Shikha; Ghalaut, Pankaj; Shekhawat, Himanshu; Nagar, Priya

doi:10.15373/2249555x/july2014/129

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…Use of non-invasive technique minimizes the crestal bone loss, which is otherwise inevitable and is upto 0.5 mm in first 6 months of implant surgery[ 9 10 ] and hence ensuring the long term implant success. [ 11 ]…”

Section: Discussionmentioning

confidence: 99%

Inadequate vertical bone dimension managed by indirect sinus grafting technique and simultaneous implant placement

Nandal¹,

Ghalaut²,

Nandal³

2016

Natl J Maxillofac Surg

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Section: Discussionmentioning

confidence: 99%

Inadequate vertical bone dimension managed by indirect sinus grafting technique and simultaneous implant placement

Nandal¹,

Ghalaut²,

Nandal³

2016

Natl J Maxillofac Surg

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“…The time complexity is computed as O(n α ) in which complexity is varied according to the number of layers used in the network. The effective training and learning process [56] helps minimize the time complexity and enhanced the efficiency of dental implantation process. Thus, we can conclude that the proposed GLCTNN robot-assisted dental implantation system successfully performs the clinical surgery using the training data.…”

Section: Matthews Correlation Coefficientmentioning

confidence: 99%

Improving the Efficiency of Dental Implantation Process Using Guided Local Search Models and Continuous Time Neural Networks With Robotic Assistance

Hashem

Youssef

2020

IEEE Access

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for funding this work through research group no. RG-1441-369" ABSTRACT Nowadays, robotics plays a vital role in medical applications, especially in dentistry, where robots can track oral hygiene and perform dental surgeries. Dental implant replacement is one of the most challenging issues in dental surgery; quality procedures and safety measures need to be considered during this process. Manual dental implant is usually incapable to reach the satisfactory levels of accuracy and safety. In addition, it requires well-trained dentists and consumes a long time. Therefore, robot-assisted surgery systems are of utmost importance for dental implant placement as they can maintain higher level of dental examination precision and safety. More specifically, robotic arms can be manufactured with intelligent models for drilling identified locations in teeth. These intelligent robots have a high degree of autonomy, can automatically adjust during intraoperative procedures, and can execute dental surgical tasks directly on patients without any apparent control by a surgeon. In this paper, we propose a novel approach to develop a robot-assisted intelligent system that improves the efficiency of dental implant process based on Guided Local Search with Continuous Time Neural Network (GLCTNN). Firstly, dental facts are collected from PubMed articles and Maryland school children datasets. Secondly, using the collected facts, an intelligent robotassisted model based on GLCTNN is developed. The second step comprises data preprocessing to remove unsolicited details, extracting useful features from the clean data, and utilizing the extracted features to train the GLCTNN model. The proposed system recognizes the implantation location with high accuracy and maximizes implantation rate. The efficiency of the system is evaluated using experimental analysis at lab scale. The proposed GLCTNN-based approach ensures maximum average accuracy (99.5%) and minimum average deviation error (0.323) compared to W-J48, Naïve Bayes (NB), Support Vector Machine (SVM), K-Nearest Neighboring (KNN), Nearest Neighbors with Structural Risk Minimization (NNSRM) and Generalized Regression Neural Network (GRNN) approaches.INDEX TERMS Robotics, robot arm manufacturing, dental implant, manual implant process, guided local search with continuous time neural network (GLCTNN), implant information.

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“…In the case of layers of oxide nanotubes obtained from nitrate baths, especially silver nitrate, along with obtaining a layer of oxide nanotubes, it is also possible to incorporate Ag particles inside the obtained nanotube structures during the anodizing process [12]. Silver is famous for its antibacterial properties, so it can be used in the treatment of peri-implantation infections, in particular Staphylococcus aureus [12,14,15], which is the most common cause of implant loss. Currently, the addition of silver nanoparticles is used as a bactericidal agent in medicine, as well as in disinfectants [16].…”

Section: Introductionmentioning

confidence: 99%

Preparation and Characterization of Oxide Nanotubes on Titanium Surface for Use in Controlled Drug Release Systems

Osak,

Skwarek,

Łukowiec

et al. 2024

Preprint

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Preventing or treating infections at implantation sites where the risk of bacterial contamination is high requires the development of intelligent drug delivery systems. In this work, honeycomb structures as a potential drug carrier were obtained for the first time in a fast, one-step anodization process of titanium grade 4, lasting only 60 seconds. Fourth generation oxide nanotube layers were obtained from an aqueous solution of 0.5% AgNO3 in the voltage range from 50 to 80 at 15(1) °C. The FE-SEM method showed the length of the oxide nanotubes from 1.02(2) µm at 50 V to 230(8) nm at 80 V. The EDS analysis revealed that during anodizing, silver particles are deposited on the Ti G4 up to 2.2(5) wt.%. Electrochemical measurements by open circuit potential and anodic polarization curves methods proved the improvement of in vitro corrosion resistance as a result of Ti G4 anodizing. Assessment of the anodized Ti G4 as gentamicin sulfate carrier carried out using ATR-FTIR and UV-VIS absorption spectroscopy revealed that the obtained oxide nanotube layers can be used for application of drugs directly to the tissue around the implant. This method of application allows full use of the therapeutic dose of the antibiotic used.

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Osseointegration in Dental Implants: A Literature Review

Cited by 8 publications

References 6 publications

Inadequate vertical bone dimension managed by indirect sinus grafting technique and simultaneous implant placement

Inadequate vertical bone dimension managed by indirect sinus grafting technique and simultaneous implant placement

Improving the Efficiency of Dental Implantation Process Using Guided Local Search Models and Continuous Time Neural Networks With Robotic Assistance

Preparation and Characterization of Oxide Nanotubes on Titanium Surface for Use in Controlled Drug Release Systems

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