Technological advancements in forensic imaging have had tremendous flow-on benefits to
the professional practice of forensic anthropology, not only in respect of case-work analyses …

Age estimation of living individuals has become a crucial part of the forensic practice,
especially due to the global increase in cross-border migration. The low rate of birth …

Background Recently, the dental age estimation method developed by Cameriere has been
widely recognized and accepted. Although machine learning (ML) methods can improve the …

Background The aim of the study was to compare two frequently used dental age estimation
methods for accuracy. Methods A total of 479 panoramic radiographs in age groups 6–14 …

Materials and Methods: This study included panaramic radiographs of 330 individuals (165
girls, 165 boys) aged between 5 and 15.90 years. The differences between chronological …

Age estimation plays an important role in clinical and forensic dentistry. Cameriere's 2007
open apices method for age estimation was applied in a sample of 612 digital panoramic …

Tooth development evaluation is majorly the current approach to identify age and maturity.
Dental age (DA) is therefore considerably emphasized in forensic and pediatric dentistry …

Purpose: To evaluate the actual variability of the mean difference between chronological
and dental age using the Cameriere method of open apices and to test its accuracy in …

Providing appropriate legal mechanisms, that evaluate the progression of development from
the age of childhood innocence to maturity and full responsibility, considered one of the …

Background Machine learning (ML) algorithms play a key role in estimating dental age. In
this study, three ML models were used for dental age estimation, based on different …