• Imaging Science in Dentistry
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• v.50 no.2
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• pp.81-92
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• 2020

Intelligent systems(i.e., artificial intelligence), particularly deep learning, are machines able to mimic the cognitive functions of humans to perform tasks of problem-solving and learning. This field deals with computational models that can think and act intelligently, like the human brain, and construct algorithms that can learn from data to make predictions. Artificial intelligence is becoming important in radiology due to its ability to detect abnormalities in radiographic images that are unnoticed by the naked human eye. These systems have reduced radiologists' workload by rapidly recording and presenting data, and thereby monitoring the treatment response with a reduced risk of cognitive bias. Intelligent systems have an important role to play and could be used by dentists as an adjunct to other imaging modalities in making appropriate diagnoses and treatment plans. In the field of maxillofacial radiology, these systems have shown promise for the interpretation of complex images, accurate localization of landmarks, characterization of bone architecture, estimation of oral cancer risk, and the assessment of metastatic lymph nodes, periapical pathologies, and maxillary sinus pathologies. This review discusses the clinical applications and scope of intelligent systems such as machine learning, artificial intelligence, and deep learning programs in maxillofacial imaging.

• Imaging Science in Dentistry
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• v.44 no.4
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• pp.307-314
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• 2014

Primitive neuroectodermal tumor (PNET), which belongs to the Ewing's sarcoma (ES) family of tumors, is mainly seen in children and young adults. PNETs are extremely rare in the maxilla. Here, we report a case of PNET of the left maxillary sinus in an elderly male. Magnetic resonance imaging (MRI) revealed a slightly enhanced solid mass occupying the left maxillary sinus and infiltrating into the retroantral space. A partial maxillectomy was performed. Despite postoperative chemotherapy, follow-up computed tomography (CT) and MRI revealed a nodal metastasis in the submandibular space. Neck dissection was performed. However, the patient died 10 months after the second surgery because of distant metastasis to the liver. MRI and CT were particularly useful in detecting the extent of the tumor, recurrence, and metastasis. Further, a literature review of the previously reported PNET cases of the maxilla was carried out. In this paper, we also discuss the current approach for the diagnosis and management of these tumors.

• Imaging Science in Dentistry
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• v.39 no.4
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• pp.175-184
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• 2009

• Imaging Science in Dentistry
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• v.49 no.1
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• pp.1-7
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• 2019

Purpose: Artificial intelligence (AI), represented by deep learning, can be used for real-life problems and is applied across all sectors of society including medical and dental field. The purpose of this study is to review articles about deep learning that were applied to the field of oral and maxillofacial radiology. Materials and Methods: A systematic review was performed using Pubmed, Scopus, and IEEE explore databases to identify articles using deep learning in English literature. The variables from 25 articles included network architecture, number of training data, evaluation result, pros and cons, study object and imaging modality. Results: Convolutional Neural network (CNN) was used as a main network component. The number of published paper and training datasets tended to increase, dealing with various field of dentistry. Conclusion: Dental public datasets need to be constructed and data standardization is necessary for clinical application of deep learning in dental field.

• Journal of Oral Medicine and Pain
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• v.44 no.3
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• pp.123-126
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• 2019

Vestibular schwannoma, also known as acoustic neuroma, is a rare benign brainstem tumor surrounding the vestibular division of the 8th cranial nerve. The presenting symptoms are hearing loss, tinnitus, and dizziness. Unabated growth can compress 5th (trigeminal nerve) and 7th (facial nerve) cranial nerve, which can cause nerve dysfunction such as orofacial pain, sensory abnormalities, or trigeminal neuralgia. We report a 51-year-old woman who presented with orofacial dysesthesia on her left side of the face with abnormal findings on 5th cranial nerve and 8th (vestibulocochlear nerve) cranial nerve examination. Brain magnetic resonance imaging scan revealed cerebellopontine angle tumor. She was referred to a neurosurgeon and diagnosed with vestibular schwannoma.

• Imaging Science in Dentistry
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• v.43 no.2
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• pp.123-128
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• 2013

Double tooth is a dental anomaly consequent to fusion of two or more teeth or gemination of a single tooth. This report describes a unique case of double tooth in relation to a mandibular lateral incisor exhibiting the presence of four root canals. The role of conventional radiography and advanced three-dimensional imaging techniques in the better assessment of complex root canal systems and their aid in endodontic management has also been highlighted.

• Imaging Science in Dentistry
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• v.43 no.3
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• pp.209-213
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• 2013

It has been a challenge to establish the accurate diagnosis of developmental tooth anomalies based on periapical radiographs. Recently, three-dimensional imaging by cone beam computed tomography has provided useful information to investigate the complex anatomy of and establish the proper management for tooth anomalies. The most severe variant of dens invaginatus, known as dilated odontome, is a rare occurrence, and the cone beam computed tomographic findings of this anomaly have never been reported for an erupted permanent maxillary central incisor. The occurrence of talon cusp occurring along with dens invaginatus is also unusual. The aim of this report was to show the importance of cone beam computed tomography in contributing to the accurate diagnosis and evaluation of the complex anatomy of this rare anomaly.

• Journal of Technologic Dentistry
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• v.21 no.1
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• pp.165-187
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• 1999

We are studied the improvement syllabus of subjects in demtal technological curriculum that those are Tooth Morphology, Science of Dental Materials, Inlay Technology, Occlusal Anatomy and Dental Orthodontic Technology. Those improvement syllabus will be contributed to the achievement of national educational standards and arrangement to the technical performance of medical imaging procedure with the smallest exposure dose and the personal attributes of compassion, courtesy and concern in meeting the needs of the patients, and have a good knowledge of the dental technician professional competence.

• Imaging Science in Dentistry
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• v.44 no.3
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• pp.253-254
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• 2014

• Imaging Science in Dentistry
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• v.53 no.3
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• pp.269-269
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• 2023