Related Experiment Video
Updated: Sep 10, 2025
09:34
Semi-Automated Planimetric Quantification of Dental Plaque Using an Intraoral Fluorescence Camera
Published on: January 27, 2023
2.1K
Charting New Territory: AI Applications in Dental Caries Detection from Panoramic Imaging
Man Hung1,2,3,4, Daniel Yevseyevich1, Milan Khazana1
1College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT 84095, USA.
Dentistry Journal
|August 27, 2025
Summary
Artificial intelligence (AI) shows promise for detecting dental caries on panoramic X-rays, with some models achieving high accuracy. Further research is needed to ensure AI
Area of Science:
- Dentistry
- Radiology
- Artificial Intelligence
Background:
- Dental caries is a significant public health issue.
- Panoramic radiographs are crucial for diagnosis, but interpretation varies.
- AI offers potential to improve diagnostic accuracy for dental caries.
Purpose of the Study:
- To review the current literature on AI programs for dental caries detection in panoramic radiographs.
- To assess the diagnostic performance and characteristics of AI models.
Main Methods:
- Scoping review following PRISMA guidelines.
- Searched major databases (PubMed, Scopus, Web of Science, etc.).
- Included peer-reviewed original research on AI for caries detection in panoramic X-rays.
Main Results:
- Seven studies were included.
- Deep Learning Model showed highest performance (accuracy 0.9789).
- Benefits include improved diagnostics and efficiency; limitations include dataset bias and interpretability issues.
Conclusions:
- AI application in panoramic radiography holds potential for enhanced caries diagnosis.
- Future research should focus on generalizability, transparency, and clinical integration.
- Diverse datasets, explainable AI, and clinical validation are crucial for future development.
