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This study aimed to develop an artificial neural network (ANN) model for cervical vertebral maturation (CVM) analysis and validate the model's output with the results of human observers. A total of 647 lateral cephalograms were selected from patients with 10-30years of chronological age (mean±standard deviation, 15.36±4.13years). New software with a decision support system was developed for manual labeling of the dataset. A total of 26 points were marked on each radiograph. The CVM stages were saved on the basis of the final decision of
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