The Application of an Artificial Neural Network to Support Decision Making in Edentulous Maxillary Implant Prostheses

Leyla Sadighpour ； Susan Mir Mohammad Rezaei ； Mojgan Paknejad ； Fatemeh Jafary ； Pooya Aslani

《Journal of Research and Practice in Dentistry》 2014卷 (2014/05) Pp. i1-10

https://doi.org/10.5171/2014.369025

並列摘要

This article presents the development of an artificial neural network to support the clinical decision making on the maxillary implant restoration for the patient with edentulous maxilla. The records of 47 patients were included in the study. The clinical data were presented to two faculty prosthodontists to point out most relevant parameters in determining the final treatment option. The collected data were codes as input criteria. The data of 35 patients were introduced to a designed neural network with feed forward/back propagation architecture. The testing phase was followed by presenting 12 new cases to the network and the accuracy was measured. The network performed well within learning rate of 0.005. The accuracy of network for the new cases was 83.3 %. An artificial neural network trained with clinical scenarios could perform well as a decision making support system and may offer the potentials in clinical education.

並列關鍵字

Artificial neural network ； decision making ； maxillary implant