Related Experiment Video
Updated: Jun 20, 2025
09:10
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
Published on: August 5, 2021
1.7K
Deep learning with convolution neural network detecting mesiodens on panoramic radiographs: comparing four models
Sachiko Hayashi-Sakai1, Hideyoshi Nishiyama2, Takafumi Hayashi2
1Department of Pediatric Dentistry, The Nippon Dental University School of Life Dentistry at Niigata, 1-8 Hamaura-cho, Chuo-ku, Niigata, 951-8580, Japan. sakais@ngt.ndu.ac.jp.
Odontology
|July 17, 2024
Summary
A simple, lightweight deep learning model effectively detects mesiodens on panoramic radiographs. This AI-based diagnosis can aid unclear cases, but specialist review remains crucial, especially for children.
Area of Science:
- Dentistry
- Radiology
- Artificial Intelligence
Background:
- Mesiodens, supernumerary teeth, can cause complications.
- Accurate detection on panoramic radiographs is essential for timely intervention.
- Current diagnostic methods may face challenges with unclear images.
Purpose of the Study:
- To develop an optimal, simple, and lightweight deep learning convolutional neural network (CNN) model.
- To evaluate the diagnostic performance of the developed CNN models for mesiodens detection.
- To utilize SHapley Additive exPlanations (SHAP) for model interpretability.
Main Methods:
- Trained and validated four modified CNN models using 628 panoramic radiographs.
- Evaluated model performance using accuracy, precision, recall, F1 scores, ROC curves, and AUC.
- Employed SHAP to visualize image features critical for classification.
Main Results:
- A binary_connect_mnist_LeNet model demonstrated the best diagnostic performance among the four deep learning models.
- The lightweight CNN model successfully detected mesiodens.
- SHAP analysis provided insights into the image features influencing the model's classifications.
Conclusions:
- A simple, lightweight deep learning model is capable of detecting mesiodens.
- AI-based diagnosis can be a valuable adjunct for unclear panoramic radiographs.
- Specialist re-evaluation is necessary due to the radiosensitivity of children.
