<abstract xmlns="http://www.w3.org/1999/xhtml">

Computer-aided diagnosis of orthodontic anomalies is of particular interest in the screening of potential patients.
General practitioners and public dental health workers would find considerable benefit in a reliable automated system capable of reflecting the clinical assessments of orthodontists. This study investigates the application of an expert system (Xpert Rule™) to the assessment of treatment need using thirteen traits of malocclusion to construct a knowledge base. Decision trees were generated using a pruning option available with the expert system.
The results of the study are encouraging and suggest that an expert system is able to generate a useful clinical screening device.
Further modification of the knowledge base is required to provide a broader range of case types, particularly those of less common occurrence. lt is also suggested that the random aggregation of cases is not the most effective means of developing a knowledge base.
</abstract>

Computer-aided diagnosis of orthodontic anomalies is of particular interest in the screening of potential patients.
General practitioners and public dental health workers would find considerable benefit in a reliable automated system capable of reflecting the clinical assessments of orthodontists. This study investigates the application of an expert system (Xpert Rule™) to the assessment of treatment need using thirteen traits of malocclusion to construct a knowledge base. Decision trees were generated using a pruning option available with the expert system.
The results of the study are encouraging and suggest that an expert system is able to generate a useful clinical screening device.
Further modification of the knowledge base is required to provide a broader range of case types, particularly those of less common occurrence. lt is also suggested that the random aggregation of cases is not the most effective means of developing a knowledge base.

Expert Systems in Orthodontic Clinical Diagnosis

Australasian Orthodontic Journal

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Expert Systems in Orthodontic Clinical Diagnosis"}

Computer-aided diagnosis of orthodontic anomalies is of particular interest in the screening of potential patients.
General practitioners and public dental...

Expert Systems in Orthodontic Clinical Diagnosis

Online veröffentlicht: 18. Jan. 2024

Seitenbereich: 32 - 38

DOI: https://doi.org/10.2478/aoj-1993-0024

© 1993 Peter D. Grant et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.