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Article
Open AccessPerceptions and attitudes of dental students and dentists in South Korea toward artificial intelligence: a subgroup analysis based on professional seniority
This study explored dental students’ and dentists’ perceptions and attitudes toward artificial intelligence (AI) and analyzed differences according to professional seniority.
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Article
CT and MR imaging findings of head and neck chondrosarcoma
This study investigated the imaging features of head and neck chondrosarcoma (HNCS) according to its origin and pathologic subtype.
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Article
Open AccessAttention-guided jaw bone lesion diagnosis in panoramic radiography using minimal labeling effort
Develo** a deep-learning-based diagnostic model demands extensive labor for medical image labeling. Attempts to reduce the labor often lead to incomplete or inaccurate labeling, limiting the diagnostic perfo...
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Article
Open AccessAutomatic diagnosis of true proximity between the mandibular canal and the third molar on panoramic radiographs using deep learning
Evaluating the mandibular canal proximity is crucial for planning mandibular third molar extractions. Panoramic radiography is commonly used for radiological examinations before third molar extraction but has ...
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Article
Open AccessDevelopment and accuracy validation of a fat fraction imaging biomarker for sialadenitis in the parotid gland
The diagnosis of sialadenitis, the most frequent disease of the salivary glands, is challenging when the symptoms are mild. In such cases, biomarkers can be used as definitive diagnostic indicators. Recently, ...
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Article
Open AccessDeep learning synthesis of cone-beam computed tomography from zero echo time magnetic resonance imaging
Cone-beam computed tomography (CBCT) produces high-resolution of hard tissue even in small voxel size, but the process is associated with radiation exposure and poor soft tissue imaging. Thus, we synthesized a...
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Article
Open AccessAutomatic diagnosis of retention pseudocyst in the maxillary sinus on panoramic radiographs using a convolutional neural network algorithm
The evaluation of the maxillary sinus is very important in dental practice such as tooth extraction and implantation because of its proximity to the teeth, but it is not easy to evaluate because of the overlap...
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Article
Open AccessImpact of physiological parameters on the parotid gland fat fraction in a normal population
Quantifying physiological fat tissue in the organs is important to further assess the organ’s pathologic status. This study aimed to investigate the impact of body mass index (BMI), age, and sex on the fat fra...
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Article
Open AccessPerformance comparison of three deep learning models for impacted mesiodens detection on periapical radiographs
This study aimed to develop deep learning models that automatically detect impacted mesiodens on periapical radiographs of primary and mixed dentition using the YOLOv3, RetinaNet, and EfficientDet-D3 algorithm...
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Article
Open AccessDeep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images
The detection of maxillary sinus wall is important in dental fields such as implant surgery, tooth extraction, and odontogenic disease diagnosis. The accurate segmentation of the maxillary sinus is required as...
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Article
Open AccessA clinical trial of a patient-customized virtual reality intervention for tinnitus
Virtual reality (VR) has recently been used as a clinical treatment because it can efficiently simulate situations that are difficult to control in real-world settings. In our study, we assessed the potential ...
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Article
Open AccessImaging feature of cosmetic fillers in cone-beam computed tomography and its dental consideration
As the application of cone-beam computed tomography (CBCT) in head and neck area increases for dental treatment purposes, cosmetic filler materials are incidentally observed. Since the materials are very diver...
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Article
Canal configuration and root morphology of mandibular premolars using cone-beam computed tomography in a Korean population
This study aimed to investigate the anatomy of mandibular premolars from two perspectives—the canal configuration and radicular grooves—using cone-beam computed tomography (CBCT) in a large Korean population.
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Article
Open AccessAutomatic detection of mesiodens on panoramic radiographs using artificial intelligence
This study aimed to develop an artificial intelligence model that can detect mesiodens on panoramic radiographs of various dentition groups. Panoramic radiographs of 612 patients were used for training. A conv...
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Article
Open AccessAutomated cortical thickness measurement of the mandibular condyle head on CBCT images using a deep learning method
This study proposes a deep learning model for cortical bone segmentation in the mandibular condyle head using cone-beam computed tomography (CBCT) and an automated method for measuring cortical thickness with ...
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Article
Open AccessAccuracy of digital model generated from CT data with metal artifact reduction algorithm
This study investigated whether metal artifact reduction (MAR) applied computed tomography (CT) scans could be used to generate precise digital models and explored possible correlations between the amount of m...
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Article
Anatomical analysis of mandibular posterior teeth for endodontic microsurgery: a cone-beam computed tomographic evaluation
The purpose of this study was to analyze the anatomical structures relevant for endodontic microsurgery in the mandibular posterior teeth using a cone-beam computed tomography (CBCT).
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Article
Open AccessQuantitative analysis of metal artifact reduction using the auto-edge counting method in cone-beam computed tomography
The metal artifact reduction (MAR) algorithm is used in most CBCT unit to reduce artifact from various dental materials. The performance of MAR program of a CBCT unit according to the dental material type unde...
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Article
Open AccessSite-specific and time-course changes of postmenopausal osteoporosis in rat mandible: comparative study with femur
Although the effects of osteoporosis on the skeleton are well studied, site-specific and long-term studies on the mandible are still lacking. This study investigated the time-course changes of the bone microar...
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Article
Open AccessEfficacy of the Monte Carlo method and dose reduction strategies in paediatric panoramic radiography
Monte Carlo (MC) simulation is a simpler radiation dose assessment method than the conventional method, thermoluminescent dosimetry (TLD). MC simulation and TLD were compared as tools to evaluate the effective...
