Using computer vision through artificial intelligence (AI) is one of the main technological
advances in dentistry. However, the existing literature on the practical application of AI for …

Digital dentistry has become an integral part of our practice today, with artificial intelligence
(AI) playing the predominant role. The present systematic review was intended to detect the …

Objectives The transition from manual to automatic cephalometric landmark identification
has not yet reached a consensus for clinical application in orthodontic diagnosis. The …

Objectives Deep learning (DL) has been increasingly employed for automated landmark
detection, eg, for cephalometric purposes. We performed a systematic review and meta …

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 …

This study aimed to analyze the existing literature on how artificial intelligence is being used
to support the identification of cephalometric landmarks. The systematic analysis of literature …

Background To evaluate the techniques used for the automatic digitization of cephalograms
using artificial intelligence algorithms, highlighting the strengths and weaknesses of each …

In recent years, the application of artificial intelligence (AI) has become more and more
widespread in medicine and dentistry. It may contribute to improved quality of health care as …

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 …

Introduction Cephalometry is the study of skull measurements for clinical evaluation,
diagnosis, and surgical planning. Machine learning (ML) algorithms have been used to …