Automated Identification of Dental Implants Using Artificial Intelligence.

Purpose: To develop and evaluate the accuracy of a computer-assisted system based on artificial intelligence for detecting and identifying dental implant brands using digital periapical radiographs.

Materials And Methods: A total of 1,800 digital periapical radiographs of dental implants from three distinct manufacturers (f1 = 600, f2 = 600, and f3 = 600) were split into training dataset (n = 1,440 [80%]) and testing dataset (n = 360 [20%]) groups. The images were evaluated by software developed by means of convolutional neural networks (CNN), with the aim of identifying the manufacturer of the dental implants contained in them.

Prevalence and characterization of maxillary sinus septa in a brazilian population.

Background: The aim of this study was to assess the anatomic aspects of the maxillary sinus septa, by means of computed tomography images, in a Brazilian population. The results might be of clinical significance in sinus lift surgery planning.

Material And Methods: In the study, 123 computed tomographs obtained from a private radiology clinic were used.

Case Reports of a New Method for Differential Diagnosis of Calcified Carotid Artery Atheroma.

. Early diagnosis of calcified atheromas may decrease morbidity and mortality caused by brain and cardiovascular diseases, in which atherosclerosis is the main etiological factor of these pathologies. Dental examinations with the aim of detecting this pathology have been in progress since 1981, such as panoramic radiography, considered the most widely studied method for this diagnosis.