DENTAL CARIES PROGNOSIS BY NEURAL NETWORK COMPUTER TECHNOLOGIES

Dental caries.

Dental caries.

Dental caries is one of the most prevalent diseases afflicting mankind. It reached a peak in the 1950s but has been declining drastically in recent years in children and young adults. This article describes the three contributing factors in dental caries: microbial plaque, tooth susceptibility, and diet, and discusses practical preventive measures which help to reduce caries incidence. Some of ...

Neural Network Classifi cation Algorithms for the AC Impedance Method of Clinically Evaluating Dental Caries

s Caries Res 2006;40:303–358 348 129 Neural Network Classifi cation Algorithms for the AC Impedance Method of Clinically Evaluating Dental Caries A. Czajczynska-Waszkiewicz b, *, P. Los a , N.B. Pitts a, b , C. Longbottom a b , M. Masalski c , S. Kochan a * [email protected] a IDMoS Dental Systems Ltd, Dundee, b University of Dundee Centre for Clinical Innovations, UK; c Technical Univer...

Inhibition of experimental dental caries by antibiotics.

A variety of antibiotic and chemotherapeutic agents were tested for their ability to inhibit the development of dental caries in Sprague-Dawley rats receiving the drugs in a coarse-particle sucrose-containing diet. Drugs which inhibit gram-positive microorganisms were effective inhibitors of caries, whereas agents which are active solely against gram-negative bacteria did not inhibit caries dev...

Estimation of chemical resistance of dental ceramics by neural network.

OBJECTIVES The purpose of this research was to determine the mass concentrations of ions eluted from dental ceramic after an exposure to hydrochloric acid and, drawing on those results, to develop a feedforward backpropagation neural network (NN). MATERIALS AND METHODS Four dental ceramics were selected for this study. The experimental measurement was conducted after 1, 2, 3, 6 and 12 months ...