Dental Implants Success Prediction: Tomography Based and Data Mining Based Approach.

There are a number of factors that contribute to the success of dental implant operations. Among others, is the choice of location in which the prosthetic tooth is to be implanted. This project offers a new approach to analyse jaw tissue for the purpose of selecting suitable locations for teeth implant operations. The application developed takes as input jaw computed tomography stack of slices and trims data outside the jaw area, which is the point of interest. It then reconstructs a three dimensional model of the jaw highlighting points of interest on the reconstructed model. On another hand, data mining techniques have been utilised in order to construct a prediction model based on an information dataset of previous dental implant operations with observed stability values. The goal is to find patterns within the dataset that would help predicting the success likelihood of an implant.

Suitability of novel PLA/Magnesium composites for biodegradable implants

Implants that can be metabolized by the human body have appeared as one of the most attractive and promising solutions to overcome limitations and improve the features of current implantable devices. Biodegradable polymers and magnesium (Mg) alloys have played an important role writing the history of resorbable implants [1,2]. This paper presents the processing by extrusion/compression moulding, mechanical characterization, thermal characterization and in vitro biocompatibility of a novel generation of resorbable materials based on a polymeric matrix reinforced with metallic Mg particles.