The study aims to evaluate the diagnostic performance of an artificial intelligence system based on deep learning for segmentation occlusal, proximal and cervical caries lesions panoramic radiographs. included 504 anonymous radiographs obtained from radiology archive Inonu University Faculty Dentistry’s Department Oral Maxillofacial Radiology January 2018 2020. This proposes Dental Caries Detection Network (DCDNet) architecture dental segmentation. main difference between DCDNet other is...

Background/Objectives: There are various challenges in the segmentation of anatomical structures with artificial intelligence due to different structural features relevant region/tissue. The aim this study was detect nasolacrimal canal (NLC) using nnU-Net v2 convolutional neural network (CNN) model cone beam-computed tomography (CBCT) images and evaluate successful performance automatic segmentation. Methods: CBCT 100 patients were randomly selected from data archive. raw transferred 3D...

Background: The present study aims to investigate the effects of systemic melatonin administration on alveolar bone resorption in experimental periodontitis rats. Methods: Twenty‐four male Sprague‐Dawley rats were divided into three groups (control, [Ped], and treated with [Mel‐Ped]). For induction, first molars ligatured submarginally for 4 weeks. After ligature removal, Mel‐Ped group a daily single dose 10 mg/kg body weight 15 consecutive days. At end study, intracardiac blood samples...

The use of artificial intelligence has many advantages, especially in the field oral and maxillofacial radiology. Early diagnosis temporomandibular joint osteoarthritis by may improve prognosis.The aim this study is to perform classification (TMJ) TMJ segmentation on cone beam computed tomography (CBCT) sagittal images with intelligence.In study, success YOLOv5 architecture, an model, was evaluated 2000 sections (500 healthy, 500 erosion, osteophyte, flattening images) obtained from CBCT...

The purpose of this study was to assess morphological shape and morphometric analysis the sella turcica using cone beam computed tomography (CBCT) in different planes section (coronal sagittal).CBCT images 177 subjects which 51 males 126 females age group 11 73 years were included population. Linear dimensions include length, depth, diameter, interclinoid distance measured analyzed.Sella had circular morphology 69.5% while flattened observed 16.4%, oval 14%. There no significant difference...

While a large number of archived digital images make it easy for radiology to provide data Artificial Intelligence (AI) evaluation; AI algorithms are more and applied in detecting diseases. The aim the study is perform diagnostic evaluation on periapical radiographs with an model based Convoluted Neural Networks (CNNs). dataset includes 1169 adult radiographs, which were labelled CranioCatch annotation software. Deep learning was performed using U-Net implemented PyTorch library. models deep...

The aim of this study was to assess the morphology sella turcica and measure its size in cleft noncleft subjects.Cone-beam computed tomography (CBCT) images 54 individuals (29 males; 25 females) with 85 (22 63 without were used for study. Syndromic patients cleft(s) not included because possible additional endocrinological and/or morphological disorders. Linear measurements length, depth, diameter. shape analyzed groups. An independent t test conducted evaluate differences between genders...

The present study aims to validate the diagnostic performance and evaluate reliability of an artificial intelligence system based on convolutional neural network method for morphological classification sella turcica in CBCT (cone-beam computed tomography) images. In this retrospective study, segmentation models (CranioCatch, Eskisehir, Türkiye) were applied sagittal slices images, using PyTorch supported by U-Net TensorFlow 1, we implemented GoogleNet Inception V3 algorithm. AI achieved...

Abstract Background The aim of this study is to obtain a highly accurate and objective sex age estimation by using the parameters maxillary molar canine teeth obtained from cone beam computed tomography images in input machine learning algorithms. Cone 240 people aged between 25 54 were randomly selected archive systems hospital transferred Horos Medikal. 3D curved multiplanar reconstruction was applied these image obtained. resulting brought orthogonal plane measurements made superimposing...

Abstract Background Deep learning model trained on a large image dataset, can be used to detect and discriminate targets with similar but not identical appearances. The aim of this study is evaluate the post-training performance CNN-based YOLOv5x algorithm in detection white spot lesions post-orthodontic oral photographs using limited data available make preliminary for fully automated models that clinically integrated future. Methods A total 435 images JPG format were uploaded into...

Maxillofacial complex automated segmentation could alternative traditional methods to increase the effectiveness of virtual workloads. The use DL systems in detection maxillary sinus and pathologies will both facilitate work physicians be a support mechanism before planned surgeries. aim was modified You Only Look Oncev5x (YOLOv5x) architecture with transfer learning capabilities segment sinuses diseases on Cone-Beam Computed Tomographic (CBCT) images. Data set consists 307 anonymised CBCT...

Objective: The aim of this study is to estimate gender with parameters obtained from the upper dental arcade by using machine learning algorithms and artificial neural networks. Methods: was conducted on cone-beamed computed tomography images 176 individuals between ages 18 55 who did not have any pathologies or surgical interventions in their arcade. were transferred RadiAnt DICOM Viewer program Digital Imaging Communications Medicine format all brought orthogonal plane applying 3D Curved...

Coronoid hyperplasia (CH) is an infrequent condition that can be defined as abnormal bony elongation of histologically normal bone. Progressive and painless difficulty in opening the mouth main clinical finding CH. In this case report, radiological findings for a 23-year-old male patient with bilateral CH are presented. When plain radiographies not sufficient diagnosis evaluation CH, cone-beam computed tomography used.

Nasolabial cysts are uncommon nonodontogenic lesions that occur in the nasal alar region. These usually present with asymptomatic swelling but can cause pain if infected. In this case report, we describe inadequacy of conventional radiography a nasolabial cyst case, as well magnetic resonance imaging (MRI) and ultrasonography (US) findings 54-year-old female patient.

Ponticulus posticus (PP) is an abnormal bony bridge on the atlas. It plays a significant role in patients undergoing C1 lateral mass screw procedure. Patients with cleft lip and palate (CLP) have higher risk than general population for appearance of cervical vertebral anomalies. The purpose this study was twofold: to determine prevalence characteristics PP CLP, compare findings using cone beam computed tomography.Cone tomography images from 54 individuals who had undergone surgical repair...

Morphological differences in the temporomandibular joint (TMJ) are crucial for treatment of patients with cleft lip and palate (CLP). This study aims to evaluate compare TMJ parameters unilateral bilateral CLP across growing non-growing age groups using cone-beam computed tomography (CBCT). CBCT records from 57 (23 males 34 females) aged 6-50 years a diagnosed or were analyzed. Patients categorized into four groups: (UGCLP), (BGCLP), (UNGCLP), (BNGCLP). Measurements parameters, including...

Objective: This study evaluated the prevalence and morphological characteristics of superior semicircular canal (SSCC) in cleft lip palate (CL/P) patients using cone beam computed tomography (CBCT).Materials methods: CBCT images 53 CL/P (28 males 25 females) a control group 76 (42 34 were evaluated. Retrospectively, 258 temporal bone from 129 terms SSCC morphology divided into normal pattern (0.6–1.7 mm thickness), papyraceous (<0.5 mm), thick (>1.8 pneumatized dehiscent. The chi-squared...

The anatomy of the maxillary sinus is especially important for dentists due to close proximity posterior teeth.The aim present study was investigate frequency pathology, anatomical variations, and relationship between tooth roots by comparing a group with hypoplasia (MSH) control using cone-beam computed tomography (CBCT).In study, 69 CBCT images 50 patients MSH 84 49 without were evaluated presence an accessory ostium, septum Haller cells in each sinus.The coincidence pathology 29%,...