Age-group determination of living individuals using first molar images based on artificial intelligence
Abstract Dental age estimation of living individuals is difficult and challenging, and there is no consensus method in adults with permanent dentition. Thus, we aimed to provide an accurate and robust artificial intelligence (AI)-based diagnostic system for age-group estimation by incorporating a co...
Saved in:
Main Authors: | Seunghyeon Kim, Yeon-Hee Lee, Yung-Kyun Noh, Frank C. Park, Q.-Schick Auh |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/67fa27ace23e44b5bb94fa0c623c8060 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing
by: Erping Long, et al.
Published: (2020) - Artificial intelligence
-
Single-atom alloy catalysts designed by first-principles calculations and artificial intelligence
by: Zhong-Kang Han, et al.
Published: (2021) -
Artificial intelligence in diabetology
by: V. V. Klimontov, et al.
Published: (2021) -
Artificial intelligence in medicine
Published: (1989)