Introduction In recent years, artificial intelligence (AI) has been applied in various ways in
medicine and dentistry. Advancements in AI technology show promising results in the …

Cephalometric tracing is a standard analysis tool for orthodontic diagnosis and treatment
planning. The aim of this study was to develop and validate a fully automatic landmark …

Automated identification of landmarks on lateral cephalogram and cone-beam computed
tomography (CBCT) scans can save time for the clinicians and act as a second set of eyes …

Cephalometric analysis is an essential clinical and research tool in orthodontics for the
orthodontic analysis and treatment planning. This paper presents the evaluation of the …

In the past decade, anatomical context features have been widely used for cephalometric
landmark detection and significant progress is still being made. However, most existing …

In dental X-ray images, an accurate detection of cephalometric landmarks plays an
important role in clinical diagnosis, treatment and surgical decisions for dental problems. In …

Objectives To determine the optimal quantity of learning data needed to develop artificial
intelligence (AI) that can automatically identify cephalometric landmarks. Materials and …

Landmark identification is crucial in quantifying cephalometric analysis. Manual tracing of
landmarks is a tedious, laborious task and prone to human errors, thereby, necessitating a …

Recently, intelligent cephalometric landmark detection systems that employ deep
convolutional neural networks (DCNNs) have been widely developed. In this paper, we …

Goal: We demonstrate a novel and robust approach for visualization of upper airway
dynamics and detection of obstructive events from dynamic 3-D magnetic resonance …