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Evaluation of Dental Plaque Area with Artificial Intelligence Model
B Yüksel1, N Özveren1, Ç Yeşil2
1Department of Pediatric Dentistry, Faculty of Dentistry, Trakya University, Edirne, Turkey.
Nigerian Journal of Clinical Practice
|June 29, 2024
Summary
An artificial intelligence (AI) system demonstrated high accuracy in detecting dental plaque on teeth, outperforming a human dentist. This deep learning approach shows promise for improved dental diagnostics.
Area of Science:
- Dentistry
- Artificial Intelligence
- Medical Imaging
Background:
- Dental plaque detection is crucial for oral hygiene and preventing dental diseases.
- Current methods for plaque identification can be subjective and time-consuming.
Purpose of the Study:
- To evaluate the diagnostic accuracy of a deep learning-based artificial intelligence (AI) system for identifying dental plaque.
- To compare the AI system's performance against a human dentist's evaluation.
Main Methods:
- A dataset of 168 permanent teeth photographs from 20 patients (aged 10-15) was used.
- Intraoral photographs were taken before and after plaque staining.
- An AI system was trained and tested on marked images; performance was compared to a dentist using Intersection over Union (IoU) and Area Under the Curve (AUC).
Main Results:
- The AI system achieved high performance metrics: 82% precision, 84% sensitivity, 83% F1 score, 87% accuracy, and 89% specificity.
- The AI system's IoU was 76% and AUC was 0.922, significantly outperforming the dentist's IoU of 0.71 and AUC of 0.833 (P < 0.05).
Conclusions:
- The developed AI algorithm shows promising and clinically acceptable performance in detecting dental plaque.
- The AI system demonstrates superior diagnostic accuracy compared to a human dentist for plaque identification.
