Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

This study aims to evaluate the diagnostic accuracy of artificial intelligence in detecting
apical pathosis on periapical radiographs. A total of twenty anonymized periapical …

Background Orthodontic tooth movements are performed by applying forces on teeth, which
may cause alterations within the dental pulp. Previously published systematic reviews on the …

Objective The aim of this study was to compare the diagnostic performance of convolutional
neural networks (CNNs) with the performance of human observers for the detection of …

Objective: This article aims to appraise how scientific evidence related to CBCT has
changed over the years, based on levels of evidence and diagnostic efficacy. Methods: A …

Clinical photon-counting CT (PCCT) offers a spatial resolution of about 200 µm and might
allow for acquisitions close to conventional dental CBCTs. In this study, the capabilities of …

The present study aimed to evaluate the performance of convolutional neural networks
(CNNs) that were trained with small datasets using different strategies in the detection of …

Abstract Background Three-dimensional (3D) reconstruction technology is a method of
transforming real goals into mathematical models consistent with computer logic …

Objectives The indication for removal of asymptomatic fully impacted third molars is still
controversial. In this study, radiological and histological investigation of the dental follicle of …

Introduction Usually, orthodontic movements encompass children and young adult patients,
which are more susceptible to the occurrence of traumatic dental injuries. It is necessary to …