Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone Parameters

Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone Parameters

Dental age is one of the most reliable methods for determining a patient’s age. The timing of teething, the period of tooth replacement, or the degree of tooth attrition is an important diagnostic factor in the assessment of an individual’s developmental age. It is used in orthodontics, pediatric de...

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Bibliographic Details
Main Authors: Maciej Zaborowicz, Katarzyna Zaborowicz, Barbara Biedziak, Tomasz Garbowski
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
chronological age
dental age
age assessment
digital pantomography
digital image analysis
artificial intelligence
Online Access:https://www.mdpi.com/1424-8220/22/2/637

Internet

https://www.mdpi.com/1424-8220/22/2/637

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