Ann panzarella5/15/2023 ![]() ![]() Despite the improvements of the ANN model to specific age groups, the original Willems model performed similar or better in 40% of the studied age intervals. The same phenomenon occurred in 1/3 of the males. The ANN was able to reduce half of the mean error of female age predictions up to 100%. With MLR and ANN, the overall differences were 0.54 and 0.35, and 0.26 and 0.24, respectively. Results: For females and males, the overall difference found with Willems original model was 0.27 and 0.28, respectively. The difference between chronological and estimated ages was quantified for the original Willems model and for the MLR and ANN models. (1973), followed by age calculation with Willems method (2001). Dental development was classified with the 7-teeth technique of Demirjian et al. The individuals were evenly distributed through ten age intervals of 1 year from 6 to 15.99 years. The sample consisted of 1000 panoramic radiographs of female (n = 500) and male (n = 500) Brazilian children. The second aim of the study was to test the performance of the method modeled with multiple linear regression (MLR) and artificial neural network (ANN). This study aimed to apply Willems method for dental age estimation of children from Southeastern Brazil. In the latter, dental age estimation may support the Court in several circumstances, such as adoption and unidentified bodies of deceased children. In the former, it may contribute to the investigation of dental development and biological maturation. Background: Dental age estimation of children may be necessary in the clinical and forensic fields. ![]()
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