Dental Age Estimation by Two Computer Methods : Fuzzy Logic and Neural Network

概要

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Accurate assessment of dental developmental age is a prerequisite to obtain occlusal harmony and correct masticatory functiont. The feasibility of estimating the dental developmental age by a dental expert computer model based on a fuzzy system was previously reported. In this study a system based on a neural network model was developed. Both techniques were further adapted for practical application by inputting data readily obtainable by stmple clinical visual inspection. Six hundred and thirty five patients nanging in age from 27 to 184 months were used to optimize the systems. The dental ages of 50 additional patients estimated clinically by 2 expert pediatric dentists were compared to those obtained by the 2 optimized computer models. An average error of 11 to 18 months was observed with either computer model, while clinically the error averaged 12 to 14 months. The implementation of these methods allows assessment of dental age without exposing patients to X-rays with reasonable accuracy.
バイオメディカル・ファジィ・システム学会の論文