• Journal of the korean academy of Pediatric Dentistry
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• v.44 no.3
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• pp.327-334
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• 2017

The purpose of this study was to compare the personality types between pediatric and other dental residents. 77 pediatric dental residents and 71 other dental residents in Korea were surveyed by Myers-Briggs Type Indicator questionnaire. Myers-Briggs Type Indicator (MBTI) had 4 personality dichotomies consisting of 2 opposite characteristics that were extraversion / introversion, sensing / intuition, thinking / feeling, and judging / perception. Combinations of these four dichotomies could make 16 personality types. The percentage of pediatric dental residents was higher in sensing and judging, but there were no statistically differences. The majority of personal type was ISTJ in both groups. Statistical significance observed only in gender. The ratio of thinking was higher in male than in female (p < 0.05). The meaning of this study was the first survey performed on the personality types between pediatric dental residents and other dental residents in Korea. Further study with pre-survey orientation and increased sample size should proceed.

• Journal of the korean academy of Pediatric Dentistry
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• v.48 no.2
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• pp.221-228
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• 2021

The aim of this study was to evaluate the use of easily accessible machine learning application to identify mesiodens, and to compare the ability to identify mesiodens between trained model and human. A total of 1604 panoramic images (805 images with mesiodens, 799 images without mesiodens) of patients aged 5 - 7 years were used for this study. The model used for machine learning was Google's teachable machine. Data set 1 was used to train model and to verify the model. Data set 2 was used to compare the ability between the learning model and human group. As a result of data set 1, the average accuracy of the model was 0.82. After testing data set 2, the accuracy of the model was 0.78. From the resident group and the student group, the accuracy was 0.82, 0.69. This study developed a model for identifying mesiodens using panoramic radiographs of children in primary and early mixed dentition. The classification accuracy of the model was lower than that of the resident group. However, the classification accuracy (0.78) was higher than that of dental students (0.69), so it could be used to assist the diagnosis of mesiodens for non-expert students or general dentists.