AIMC Topic: Age Determination by Teeth

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An automated technique to stage lower third molar development on panoramic radiographs for age estimation: a pilot study.

The Journal of forensic odonto-stomatology Dec 1, 2017
BACKGROUND: Automated methods to evaluate growth of hand and wrist bones on radiographs and magnetic resonance imaging have been developed. They can be applied to estimate age in children and subadults. Automated methods require the software to (1) r...
Molar, Third Radiography, Panoramic Pilot Projects Age Determination by Teeth Retrospective Studies Machine Learning Male Humans Algorithms Female
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Adolescents and Children Age Estimation Using Machine Learning Based on Pulp and Tooth Volumes on CBCT Images.

Fa yi xue za zhi Apr 25, 2024
OBJECTIVES: To estimate adolescents and children age using stepwise regression and machine learning methods based on the pulp and tooth volumes of the left maxillary central incisor and cuspid on cone beam computed tomography (CBCT) images, and to co...
Tooth Incisor Dental Pulp Age Determination by Teeth Humans Cone-Beam Computed Tomography China Male Child Adolescent Algorithms Female Machine Learning
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Dental Age Estimation in Northern Chinese Han Children and Adolescents Using Demirjian's Method Combined with Machine Learning Algorithms.

Fa yi xue za zhi Apr 25, 2024
OBJECTIVES: To investigate the application value of combining the Demirjian's method with machine learning algorithms for dental age estimation in northern Chinese Han children and adolescents.
Female Young Adult Algorithms Adolescent Child, Preschool China Male Tooth Age Determination by Teeth Machine Learning Decision Trees Humans East Asian People Ethnicity Mandible Radiography, Panoramic Child Support Vector Machine
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Application of Medical Statistical and Machine Learning Methods in the Age Estimation of Living Individuals.

Fa yi xue za zhi Apr 25, 2024
In the study of age estimation in living individuals, a lot of data needs to be analyzed by mathematical statistics, and reasonable medical statistical methods play an important role in data design and analysis. The selection of accurate and appropri...
Humans Age Determination by Teeth Age Determination by Skeleton Multivariate Analysis Machine Learning
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Machine learning assessment of dental age classification based on cone-beam CT images: a different approach.

Dento maxillo facial radiology Jan 11, 2024
OBJECTIVES: Machine learning (ML) algorithms are a portion of artificial intelligence that may be used to create more accurate algorithmic procedures for estimating an individual's dental age or defining an age classification. This study aims to use ...
Artificial Intelligence Imaging, Three-Dimensional Machine Learning Humans Cone-Beam Computed Tomography Age Determination by Teeth Adult Female Male
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