The Application of Artificial-Intelligence-Assisted Dental Age Assessment in Children with Growth Delay.

Te-Ju WuChia-Ling TsaiQuan-Ze GaoYueh-Peng ChenChang-Fu KuoYing-Hua Huang

Published in: Journal of personalized medicine (2022)

The AI-assisted DA assessments help overcome the long-standing populational limitation observed in traditional methods. The image feature extraction of the CNN models provided the best efficacy to reveal the nature of delayed DA in GD children of both genders.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
young adults
convolutional neural network
genome wide
single cell
dna methylation