Accuracy and clinical validity of automated cephalometric analysis using convolutional neural networks.

Seyun Kang Inhwan Kim Yoon-Ji Kim Namkug Kim Seung-Hak Baek Sang-Jin Sung

Published in: Orthodontics & craniofacial research (2023)

The errors in landmark positions, especially those that define reference planes, may significantly affect cephalometric measurements. The possibility of errors generated by automated lateral cephalometric analysis systems should be considered when using such systems for orthodontic diagnoses.

Keyphrases

convolutional neural network
deep learning
machine learning
high throughput
patient safety
adverse drug
emergency department
single cell
oral health
quality improvement