Background: The use of artificial intelligence (AI) in health sciences is becoming
increasingly popular among doctors nowadays. This study evaluated the literature regarding …

Objectives This study proposed and investigated the performance of a deep learning based
three-dimensional (3D) convolutional neural network (CNN) model for automatic …

Introduction This study aimed to test the accuracy of a new automatic deep learning–based
approach on the basis of convolutional neural networks (CNN) for fully automatic …

Background. Using different software to evaluate the airways, with different thresholds, but
within the range for airway recognition, could yield different measurements in the same …

Introduction Endoscopic skull base surgery allows minimal invasive therapy through the
nostrils to treat infectious or tumorous diseases. Surgical and anatomical education in this …

The work is dedicated to the segmentation problem of human nasal airways using Cone
Beam Computed Tomography. During research, we propose a specialized approach of …

Introduction In orthodontic treatments, accurately assessing the upper airway volume and
morphology is essential for proper diagnosis and planning. Cone beam computed …

The purpose of this study was to investigate the accuracy of the airway volume
measurement by a Regression Neural Network-based deep-learning model. A set of …

Objectives To assess the intraexaminer and interexaminer reliabilities of novel
semiautomatic methods to segment the nasal cavity (NC) and pharyngeal airway (PA) and to …

Aims This study aimed to evaluate the short-term oropharyngeal airway volumetric changes
in growing Class III maxillary-deficient patients treated by facemask without expansion …