Tooth aging monitoring using ultrasound and CNN

This study proposes a new, non-invasive method for dental age assessment using ultrasound signals and machine learning. The research analyzes ultrasound signals from teeth, both as spectrogram images (analyzed by MobileNetV2) and time-series data (analyzed by a 1D CNN), to classify teeth based on pulp-to-dentin ratio, a key indicator of age.