Seoul National University · Dentistry
Professor Min-Suk Heo's research lab specializes in the application of artificial intelligence and deep learning in oral and maxillofacial (OMF) radiology, with a focus on improving diagnostic accuracy and forensic identification. The lab investigates age-related changes in mandibular bone structure, particularly cortical and trabecular bone alterations in men and women, to support osteoporosis risk assessment. A key research direction involves developing automated systems for detecting natural teeth and dental restoration patterns in panoramic radiographs to enhance disaster victim identification. The lab also explores radiographic biomarkers using fractal analysis and imaging metrics for clinical and forensic applications.
Figures are computed from collected data and may differ slightly.
Artificial intelligence, which has been actively applied in a broad range of industries in recent years, is an active area of interest for many researchers. Dentistry is no exception to this trend, and the applications of artificial intelligence are particularly promising in the field of oral and maxillofacial (OMF) radiology. Recent researches on artificial intelligence in OMF radiology have mainly used convolutional neural networks, which can perform image classification, detection, segmentati
Disaster victim identification issues are especially critical and urgent after a large-scale disaster. The aim of this study was to suggest an automatic detection of natural teeth and dental treatment patterns based on dental panoramic radiographs (DPRs) using deep learning to promote its applicability as human identifiers. A total of 1 638 DPRs, of which the chronological age ranged from 20 to 49 years old, were collected from January 2000 to November 2020. This dataset consisted of natural tee
It is important to investigate the irregularities in aging-associated changes in bone, between men and women for bone strength and osteoporosis. The purpose of this study was to characterize the changes and associations of mandibular cortical and trabecular bone measures of men and women based on age and to the evaluation of cortical shape categories, in a large Korean population. Panoramic radiographs of 1047 subjects (603 women and 444 men) aged between 15 to 90 years were used. Mandibular cor
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