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Erratum to: McCune-Albright syndrome with acromegaly: A case report with characteristic radiographic features of fibrous dysplasia

Yeom HG, Lee BD

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Imaging aspects of maxillomandibular bone alterations in patients with multiple myeloma treated with bisphosphonates: A systematic review

Gonzaga AKG, Morais HGdF, Oliveira CDM, Campos MLR, Diaz CRLDM, Custódio M, Andrade NS, Santana T

Purpose: Multiple myeloma (MM) is a rare cancer that is typically managed with bisphosphonates to slow bone resorption and prevent skeletal complications. This study aimed to identify imaging patterns in...
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Ultrasonography in the management of lip complications caused by hyaluronic acid

Figueiredo HP, Coimbra F, Rocha TdC, Silva MRMAe

Ultrasonography is highly accurate for evaluating soft tissues. Given that minimally invasive aesthetic procedures are on the rise, complications have become more prevalent. Thus, ultrasonography holds promise for assisting in...
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Finite element analysis of stabilization splint pressure distribution in a patient with disc displacement without reduction: A preliminary study

Mude AH, Ikbal M, Hatta MP, Sugianto I, Machmud E, Rahman FUA, Irsal I, Fibrianti E, Bachtiar MM, Attamimi TRSAS

Purpose: This study was performed to investigate the pattern of condylar pressure distribution in the discs of a patient diagnosed with disc displacement without reduction. Materials and Methods: This research consisted...
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Opportunistic investigation of vascular calcification using 3-dimensional dental imaging

MiriMoghaddam M, Lai H, Pacheco-Pereira C

Purpose: Given the growing use of cone-beam computed tomography (CBCT) scans, this study assessed radiation exposure from these scans in the context of national guidelines and recommended dose limits. Materials and...
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Clinical validity and precision of deep learning-based cone-beam computed tomography automatic landmarking algorithm

Park J, Yoon S, Kim H, Kim Y, Lee U, Yu H

Purpose: This study was performed to assess the clinical validity and accuracy of a deep learning-based automatic landmarking algorithm for cone-beam computed tomography (CBCT). Three-dimensional (3D) CBCT head measurements obtained...
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Performance of ChatGPT 3.5 and 4 on U.S. dental examinations: the INBDE, ADAT, and DAT

Dashti M, Ghasemi S, Ghadimi N, Hefzi D, Karimian A, Zare N, Fahimipour A, Khurshid Z, Chafjiri MM, Ghaedsharaf S

Purpose: Recent advancements in artificial intelligence (AI), particularly tools such as ChatGPT developed by OpenAI, a U.S.-based AI research organization, have transformed the healthcare and education sectors. This study investigated...
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High-resolution magnetic resonance imaging of teeth and periodontal tissues using a microscopy coil

Kotaki S, Watanabe H, Sakamoto J, Kuribayashi A, Araragi M, Akiyama H, Ariji Y

Purpose: This study aimed to assess the performance of 2-dimensional (2D) imaging with microscopy coils in delineating teeth and periodontal tissues compared with conventional 3-dimensional (3D) imaging on a 3...
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Classification of mandibular molar furcation involvement in periapical radiographs by deep learning

Vilkomir K, Phen C, Baldwin F, Cole J, Herndon N, Zhang W

Purpose: The purpose of this study was to classify mandibular molar furcation involvement (FI) in periapical radiographs using a deep learning algorithm. Materials and Methods: Full mouth series taken at East...
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Combination of metal artifact reduction and sharpening filter application for horizontal root fracture diagnosis in teeth adjacent to a zirconia implant

Ruiz DC, Reis LdO, Fontenele RC, Miranda-Viana M, Farias-Gomes A, Queiroz Freitas D

Purpose: This study examined the influence of metal artifact reduction (MAR), the application of sharpening filters, and their combination on the diagnosis of horizontal root fracture (HRF) in teeth adjacent to...
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Evaluation of deep learning and convolutional neural network algorithms for mandibular fracture detection using radiographic images: A systematic review and meta-analysis

Dashti M, Ghaedsharaf S, Ghasemi S, Zare N, Constantin EF, Fahimipour A, Tajbakhsh N, Ghadimi N

Purpose: The use of artificial intelligence (AI) and deep learning algorithms in dentistry, especially for processing radiographic images, has markedly increased. However, detailed information remains limited regarding the accuracy of...
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Image quality-based dose optimization in pediatric cone-beam computed tomography: A pilot methodological study

Kim HS, Choi YJ, Jeon KJ, Han SS, Lee C

Purpose: This study aimed to propose a methodological approach for reducing the radiation dose in pediatric conebeam computed tomography (CBCT), focusing exclusively on balancing image quality with dose optimization. Materials and...
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