The aim of this study was to evaluate the success artificial intelligence (AI) system in implant planning using three-dimensional cone-beam computed tomography (CBCT) images.Seventy-five CBCT images were included study. In these images, bone height and thickness 508 regions where implants required measured by a human observer with manual assessment method InvivoDental 6.0 (Anatomage Inc. San Jose, CA, USA). Also, canals/sinuses/fossae associated alveolar bones missing tooth detected....

This study evaluated the use of a deep-learning approach for automated detection and numbering deciduous teeth in children as depicted on panoramic radiographs.An artificial intelligence (AI) algorithm (CranioCatch, Eskisehir-Turkey) using Faster R-CNN Inception v2 (COCO) models were developed to automatically detect number seen pediatric radiographs. The was trained tested total 421 images. System performance assessed confusion matrix.The AI system successful detecting sensitivity precision...

Abstract Background Panoramic radiography is an imaging method for displaying maxillary and mandibular teeth together with their supporting structures. frequently used in dental due to its relatively low radiation dose, short time, burden the patient. We verified diagnostic performance of artificial intelligence (AI) system based on a deep convolutional neural network detect number panoramic radiographs. Methods The data set included 2482 anonymized radiographs from adults archive Eskisehir...

The purpose of the paper was assessment success an artificial intelligence (AI) algorithm formed on a deep-convolutional neural network (D-CNN) model for segmentation apical lesions dental panoramic radiographs. A total 470 anonymized radiographs were used to progress D-CNN AI based U-Net (CranioCatch, Eskisehir, Turkey) lesions. obtained from Radiology Archive Department Oral and Maxillofacial Faculty Dentistry Eskisehir Osmangazi University. implemented with PyTorch (version 1.4.0) In test...

The assessment of alveolar bone loss, a crucial element the periodontium, plays vital role in diagnosis periodontitis and prognosis disease. In dentistry, artificial intelligence (AI) applications have demonstrated practical efficient diagnostic capabilities, leveraging machine learning cognitive problem-solving functions that mimic human abilities. This study aims to evaluate effectiveness AI models identifying loss as present or absent across different regions. To achieve this goal, were...

Radiological examination has an important place in dental practice, and it is frequently used intraoral imaging. The correct numbering of teeth on radiographs a routine practice that takes time for the dentist. This study aimed to propose automatic detection system bitewing images using faster Region-based Convolutional Neural Networks (R-CNN) method.The included 1125 bite-wing patients who attended Faculty Dentistry Ordu University from 2018 2019. A R-CNN advanced object identification...

To evaluate the effectiveness and accuracy of artificial intelligence (AI) by automating tooth segmentation in CBCT volumes paediatric patients with mixed dentition, using nnU-Netv2 algorithm. Identifying numbering teeth, initial step treatment planning, demands an efficient method. AI models offer a promising approach dentition period play valuable role dentists' planning terms time effort.

Objectives: The aim of this study was to detect alveolar bone loss from dental panoramic radiographic images using artificial intelligence systems. Material and Methods: A total 2276 were used in study. While 1137 them belong cases with destruction, 1139 periodontally healthy. dataset is divided into three parts as training (n=1856) , validation (n=210) testing set (n= 210). All the data resized 1472x718 pixels before training. random sequence created open-source python programming language...

Objectives: The present study aimed to evaluate the performance of a Faster Region-based Convolutional Neural Network (R-CNN) algorithm for tooth detection and numbering on periapical images. Methods: data sets 1686 randomly selected radiographs patients were collected retrospectively. A pre-trained model (GoogLeNet Inception v3 CNN) was employed pre-processing, transfer learning techniques applied set training. consisted of: (1) Jaw classification model, (2) Region models, (3) Final using...

Panoramic radiographs, in which anatomic landmarks can be observed, are used to detect cases closely related pediatric dentistry. The purpose of the study is investigate success and reliability detection maxillary mandibular structures observed on panoramic radiographs children using artificial intelligence.A total 981 mixed images patients for 9 different including sinus, orbita, canal, mental foramen, foramen mandible, incisura articular eminence, condylar coronoid processes were labelled,...

Background: Although magnetic resonance imaging (MRI) helps to clearly visualize the disorders in temporomandibular joint (TMJ), relationship between cross-sectional and clinical findings has not been precisely established.The aim of this study was evaluate symptoms MRI individuals with TMJ pain.Material Methods: This study, conducted on patients, who applied Uşak University, Oral Maxillofacial Surgery Clinic pain years 2016-2019.The primary predictor variables were findings; disc position...

Objective To evaluate ultrasonography (US) guidance on the single-puncture temporomandibular joint (TMJ) arthrocentesis technique.Methods Twenty-four patients were randomly divided into two groups (n = 12 in each group), and single puncture (SPA) was performed with without US 1 2. During one-year follow-up period, statistically evaluated by visual analog scale for pain, maximum mouth opening, lateral excursion, protrusion within group between groups.Results Both treatment showed significant...

Abstract Background Nasal septum osteotomy is used for separating the nasal and maxilla during a Le Fort I osteotomy. If this applied too high or tilted into cavity, sphenoid sinus various adjacent vital structures may be damaged, serious bleeding, neurological complications, blindness even death occur. The aim of study to determine safety margin surgery in cleft lip palate (CLP) patients. Methods Twenty (the CLP group) 20 healthy individuals control were included study. Three values (two...

Objective: To investigate the effectiveness of using YOLO-v5x in detecting fixed prosthetic restoration panoramic radiographs.

Objective: The purpose of the study was to create an artificial intelligence (AI) system for detecting idiopathic osteosclerosis (IO) on panoramic radiographs automatic, routine, and simple evaluations. Subject Methods: In this study, a deep learning method carried out with obtained from healthy patients. A total 493 anonymized were used develop AI (CranioCatch, Eskisehir, Turkey) detection IOs. acquired radiology archives Department Oral Maxillofacial Radiology, Faculty Dentistry, Eskisehir...

Abstract Background: The aim of this study was to evaluate the success artificial intelligence (AI) system in implant planning using three-dimensional cone-beam computed tomography (CBCT) images. Methods: Seventy-five CBCT images were included study. In these images, bone height and thickness 508 regions where implants required measured by a human observer with manual segmentation method InvivoDental 6.0 (Anatomage Inc. San Jose, CA, USA). Also, canals/sinuses/fossae associated alveolar...

To evaluate the effects of successful TMJ treatment on relief pain, improvement mandibular movement and capsular width with clinical ultrasonography (US) findings. In this study, changes were evaluated by US examination after US-guided single-puncture arthrocentesis, which represents a novel approach.Clinical measurements obtained before each procedure at 1 day, 7 days, 3 months thereafter. Capsular was measured via 3-month follow-up.Significant improvements evident short term...