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.

OBJECTIVES: The Web-based integrated public healthcare information system (PHIS) of Korea was planned and developed from 2005 to 2010, and it is being used in 3,501 regional health organizations. This paper introduces and discusses development and performance of the system. METHODS: We reviewed and examined documents about the development process and performance of the newly integrated PHIS. The resources we analyzed the national plan for public healthcare, information strategy for PHIS, usage and performance reports of the system. RESULTS: The integrated PHIS included 19 functional business areas, 47 detailed health programs, and 48 inter-organizational tasks. The new PHIS improved the efficiency and effectiveness of the business process and inter-organizational business, and enhanced user satisfaction. Economic benefits were obtained from five categories: labor, health education and monitoring, clinical information management, administration and civil service, and system maintenance. The system was certified by a patent from the Korean Intellectual Property Office and accredited as an ISO 9001. It was also reviewed and received preliminary comments about its originality, advancement, and business applicability from the Patent Cooperation Treaty. It has been found to enhance the quality of policy decision-making about regional healthcare at the self-governing local government level. CONCLUSIONS: PHIS, a Web-based integrated system, has contributed to the improvement of regional healthcare services of Korea. However, when it comes to an appropriate evolution, the needs and changing environments of community-level healthcare service and IT infrastructure should be analyzed properly in advance.
Commerce ; Delivery of Health Care* ; Health Education ; Information Management ; Information Systems* ; Intellectual Property ; International Cooperation ; Korea* ; Local Government ; Public Health Informatics ; Systems Integration