Abstract:Aim: The aim of this study is to investigate the relationship of 18 radiomorphological parameters of panoramic radiographs based on age, and to estimate the age group of people with permanent dentition in a non-invasive, comprehensive, and accurate manner using five machine learning algorithms.Methods: For the study population (209 men and 262 women; mean age, 32.12±18.71 years), 471 digital panoramic radiographs of Korean individuals were applied. The participants were divided into three groups (with a 20-yea… Show more
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