Predictive Artificial Intelligence Model for Detecting Dental Age Using Panoramic Radiograph Images

Predicting dental development in individuals, especially children, is important evaluating maturity and determining the factors that influence of teeth growth jaws. Dental can be accelerated patients with an skeletal rate related to pattern as a child. The age (DA) individual essential dentist for planning treatment relation maxillofacial growth. A deep-learning-based regression model was developed this study using panoramic radiograph images predict DA. dataset included 529 samples radiographs collected from hospital at Imam Abdulrahman Bin Faisal university Saudi Arabia. Different deep learning methods were applied implement model, including Xception, VGG16, DenseNet121, ResNet50. results indicated Xception had best performance, error 1.417 6–11 group. proposed assist appropriate based on their DA rather than chronological age.