Wonsuk Park

This study aimed to evaluate the accuracy of automated deep learning (DL) algorithm for identifying and classifying various types of dental implant systems (DIS) using a large-scale multicenter dataset. Dental implant radiographs of pos-implant surgery were collected from five college dental hospitals and 10 private dental clinics, and validated by the National Information Society Agency and the Korean Academy of Oral and Maxillofacial Implantology. The dataset contained a total of 156,965 panor

By means of reverse transcription-PCR we have identified an alternatively spliced mRNA coding for a variant estrogen receptor (ER) that lacks exon 4 (ERDelta4) and is coexpressed with the wild-type ER mRNA in ovarian carcinomas. Furthermore, Western blot analysis revealed the expression of the ERDelta4 protein in normal as well as neoplastic ovarian tissues along with the wild-type ER, although the relative amounts of the wild-type ER and ERDelta4 proteins varied. The trans-activational properti

Artificial intelligence (AI) is limited to teeth and periodontal disease in the dental field, and is used for diagnosis assistance or data analysis, and there has been no research conducted in actual clinical situations. So, we created an environment similar to actual clinical practice and conducted research by selecting three of the soft tissue diseases (carotid artery calcification, lymph node calcification, and sialolith) that are difficult for general dentists to see. Therefore, in this stud

Pain and dysfunction in the temporomandibular joint (TMJ) region represent a diagnostic challenge. Temporomandibular disorders (TMD) are usually diagnosed by means of a thorough patient history and comprehensive clinical examination. However, additional diagnostic tests, such as imaging of the TMJ area, are necessary in cases where the signs do not explain the symptoms. Neoplasms and pseudotumors of the TMJ are quite uncommon, but their early recognition is necessary in order prevent the delay o