Deep learning for diagnostic charting on pediatric panoramic radiographs.

Aim: Artificial intelligence (AI)-based systems are used in dentistry to ensure a more accurate and efficient diagnostic process. The objective of the present study was to evaluate the performance of a deep learning (DL) program for the detection and classification of dental structures and treatments on panoramic radiographs of pediatric patients.

Materials And Methods: In total, 4821 anonymized digital panoramic radiographs of children between 5 and 13 years of age were analyzed by YOLOv4, a CNN (Convolutional Neural Networks)-based object detection model.

A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs.

Purpose: The aim of this study was to assess the performance of a deep learning system for permanent tooth germ detection on pediatric panoramic radiographs.

Materials And Methods: In total, 4518 anonymized panoramic radiographs of children between 5 and 13 years of age were collected. YOLOv4, a convolutional neural network (CNN)-based object detection model, was used to automatically detect permanent tooth germs.

Anatomical and Morphological Assessment of Nasopalatine Canal in Pediatric and Adolescent Population via Cone Beam Computed Tomography.

Introduction: Anatomical and morphological structure of nasopalatine canal (NPC) is important for surgical techniques carried out on the maxilla. The aim of the present study was to analyze the anatomical and morphological characteristics of the NPC among pediatric and adolescent population using cone beam computed tomography (CBCT).

Materials And Methods: A total of 437 cases were analyzed using CBCT images in this retrospective, cross-sectional study.

Comparison of two digital intraoral radiography imaging systems as a function of contrast resolution and exposure time.

Background: To compare the image quality of two different digital imaging systems; one photostimulable phosphor plate system (PSP) and a direct digital radiography system with CMOS imaging sensor; via evaluating contrast resolution among four different exposure times.

Methods: Endodontically treated incisor teeth embedded in paraffin blocks are aligned next to a 99.5% Al wedge and exposed for 0.

Evaluation of the morphology of the canalis sinuosus using cone-beam computed tomography in patients with maxillary impacted canines.

Purpose: The nasopalatine canal is a well-known, important anatomical structure in the anterior maxilla, but this region contains many accessory canals. The canalis sinuosus (CS) is one of these canals; it contains the anterior superior alveolar nerve, along with veins and arteries. The purpose of this study was to evaluate the CS using conebeam computed tomography (CBCT) in patients with maxillary impacted canines.

Prosthetic rehabilitation of a Crouzon patient: A case report.

Crouzon syndrome is a rare genetic disorder, which can be defined as a variation of craniofacial dysostosis caused by the premature obliteration and ossification of two or more sutures. The growth pattern results in pseudoprognathism and malocclusions including an overcrowded or a widely spaced dentition. Specifically maxillary arch is narrow, high, and V-shaped.