Related Experiment Video
Updated: Sep 18, 2025
09:34
Semi-Automated Planimetric Quantification of Dental Plaque Using an Intraoral Fluorescence Camera
Published on: January 27, 2023
2.1K
Deep Learning for Detecting Dental Plaque and Gingivitis From Oral Photographs: A Systematic Review
Mohammad Moharrami1,2,3, Elaheh Vahab4, Mobina Bagherianlemraski5
1Faculty of Dentistry, University of Toronto, Toronto, Canada.
Community Dentistry and Oral Epidemiology
|June 27, 2025
Summary
Deep learning models show promise for detecting dental plaque and gingivitis using intraoral photos. These artificial intelligence tools excel at plaque detection and could improve teledentistry and early disease screening.
Area of Science:
- Dentistry
- Artificial Intelligence
- Medical Imaging
Background:
- Dental plaque and gingivitis are key indicators of oral health.
- Early detection is crucial for preventing periodontal disease progression.
- Intraoral photography offers a non-invasive method for oral health assessment.
Purpose of the Study:
- To systematically review the performance of deep learning (DL) models in detecting dental plaque and gingivitis.
- To analyze the methodological quality and diagnostic accuracy of DL models using RGB intraoral photographs.
Main Methods:
- Comprehensive literature search across major databases (Medline, Scopus, Embase, Web of Science) up to January 31, 2025.
- Analysis of methodological characteristics and performance metrics of 23 included studies.
- Risk of bias assessment using QUADAS-2 and certainty of evidence evaluation using GRADE framework.
Main Results:
- Deep learning models demonstrated robust performance in dental plaque segmentation (IoU 0.64-0.86, median 0.74), outperforming dentists in some cases.
- Models showed potential for gingivitis detection (IoU 0.43-0.72, median 0.63) but underperformed compared to plaque detection.
- Certainty of evidence was moderate for plaque detection and low for gingivitis detection.
Conclusions:
- Deep learning models show significant potential for detecting dental plaque and gingivitis from intraoral photographs.
- These AI tools, usable with accessible devices like smartphones, can advance teledentistry and early periodontal disease screening.
- Further research is needed to address limitations such as lack of external testing and multicenter validation for real-world application.
Related Concept Videos
01:26Assessment of the Mouth
425
A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
425
01:21Tooth Anatomy
1.1K
The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or...
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or...
1.1K