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Related Experiment Video

Updated: Feb 13, 2026

Studying Orthodontic Tooth Movement in Mice

Studying Orthodontic Tooth Movement in Mice

Published on: August 2, 2024

Bayesian-Based Decision Support System for Assessing the Needs for Orthodontic Treatment.

Bhornsawan Thanathornwong¹

¹Department of General Dentistry, Faculty of Dentistry, Srinakharinwirot University, Bangkok, Thailand.

Healthcare Informatics Research

|March 6, 2018

Summary

A new clinical decision support system accurately assesses orthodontic treatment needs in patients with permanent dentition, showing high agreement with expert orthodontist evaluations.

Keywords:

Angle's Classification Artificial Intelligence Dental Informatics Machine Learning Malocclusion

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Area of Science:

Dentistry
Medical Informatics
Artificial Intelligence

Background:

General practitioners require tools to accurately assess orthodontic treatment needs.
Existing methods may lack consistent or objective evaluation criteria.

Purpose of the Study:

To develop and evaluate a clinical decision support system for assessing orthodontic treatment necessity.
To aid general practitioners in patient evaluation for permanent dentition.

Main Methods:

A Bayesian network (BN) was utilized as the core model.
One thousand patient datasets from a hospital record system were analyzed.
The system's assessments were compared against expert orthodontist judgments.

Main Results:

The Bayesian network model effectively represents variables and their causal relationships.
High agreement was observed between two expert orthodontists (kappa = 0.894).
The decision support system demonstrated excellent agreement with both orthodontists (kappa = 1.00 and 0.894).

Conclusions:

The developed system shows high accuracy in classifying patients needing orthodontic treatment.
This represents a promising first testing phase for the clinical decision support system.
The system can assist in objective and consistent orthodontic treatment need assessment.