Objectives The aim of the present systematic review and meta-analysis is to assess the
accuracy of automated landmarking using deep learning in comparison with manual tracing …

Artificial intelligence (AI) is a new breakthrough in technological advancements based on
the concept of simulating human intelligence. These emerging technologies highly influence …

Objectives: Dentists and oral surgeons often face difficulties distinguishing between
radicular cysts and periapical granulomas on panoramic imaging. Radicular cysts require …

In recent years, there has been the notable emergency of artificial intelligence (AI) as a
transformative force in multiple domains, including orthodontics. This review aims to provide …

Cephalometrics is an integral part of orthodontic diagnosis and treatment planning. It has
been extensively used to study variation in human face and craniofacial growth …

Objective To present and validate an open‐source fully automated landmark placement
(ALICBCT) tool for cone‐beam computed tomography scans. Materials and Methods One …

Objectives This study evaluated the accuracy of deep neural patchworks (DNPs), a deep
learning-based segmentation framework, for automated identification of 60 cephalometric …

Machine learning applications have momentously enhanced the quality of human life. The
past few decades have seen the progression and application of machine learning in diverse …

Cephalometric analysis is critically important and common procedure prior to orthodontic
treatment and orthognathic surgery. Recently, deep learning approaches have been …

Objectives Artificial intelligence (AI) is an emerging field in dentistry. AI is gradually being
integrated into dentistry to improve clinical dental practice. The aims of this scoping review …